After the 2008 crisis, there were several debates on the bail-out and the lack of accountability of financial institutions; this supposedly affects politica l values such as equality and responsibility: it implies transferring resources from the public (for instance, poor people) to specific economic agents who have chosen to incur certain risks. On the other hand, it is arguable that it would not be up to the regulators to protect investors’ interests, and that there would be more efficient and (...) less burdensome instruments associated with prudential regulation. Our goal is to provide a justification for the bail-out and for holding bankers accountable. In section 2, we present a brief description of the problem in the context of the crisis, followed by a justification for the bail-out through the incentives argument, based on Rawls’s difference principle. In section 3, we provide an ethical discussion over the corresponding moral hazards, and investigate how to mitigate it through coercive measures. (shrink)

During the current financial crisis, the need for an alternative to a laissez-faire ethics of capitalism (the Milton Friedman view) becomes clear. I argue that we need an order ethics which employs economics as a key theoretical resource and which focuses on institutions for implementing moral norms. -/- I will point to some aspects of order ethics which highlight the importance of rules, e.g. global rules for the financial markets. In this regard, order ethics (...) (“Ordnungsethik”) is the complement of the German conception of “Ordnungspolitik” which also stresses the importance of a regulatory framework. This framework is needed not to tame the market, but to make it more profitable in the long run. -/- The conception of order ethics relies heavily on contractarianism, especially on James Buchanan’s work. Unlike many other conceptions of ethics, it does not start with an aim to achieve, but rather with an account of what the social world – in which ethical norms have to be implemented – is like. Our social world is different from the pre-modern one. Pre-modern societies played zero-sum games in which people could only gain significantly at the expense of others. And the types of ethics that we are still used to today have been developed within these pre-modern societies. -/- Modern societies, by contrast, can be characterised – by economists and other social theorists alike – as societies with continuous growth. This growth has only been made possible by the modern competitive market economy which enables everyone to pursue his own interests within a carefully devised institutional system. In this system, positive sum games are played, which makes it in principle possible to improve the position of every individual at the same time. Most kinds of ethics, however, resulting from the conditions of pre-modern societies, ignore the possibility of win-win-situations and instead require us to be moderate, to share, to sacrifice, as this would have been functional in zero-sum games. These conceptions distinguish – in more or less strict ways – between self-interest and altruistic motivation. Self-interest, more often than not, is ultimately seen as something evil. -/- Such an ethics cannot be functional in modern societies. Ethical concepts lag behind. Within zero-sum games, it was necessary to call for temperance, for moderate profits, or for a condemnation of lending money at interest. Within positive-sum games, however, the morally desired result of a social process cannot be brought about by changes in motivation, by switching from ‘egoistic’ to ‘altruistic’ motivation. The second theoretical element introduced by order ethics is the distinction between actions and rules, which was already mentioned. Traditional ethics concerns actions: It calls directly for changes in behaviour. This is a consequence of pre-modern conditions as reconstructed before: People in the pre-modern world were only able to control their actions, not so much however the conditions of their actions. In particular, rules like laws, constitutions, social structures, the market order, and also ethical norms have remained stable for centuries. In modern societies, this situation has changed entirely. The rules governing our actions have increasingly come under our control. -/- In this situation, ethics has to focus on rules. Morality must be incorporated in incentive-compatible rules. Direct calls for changes in behaviour without changes in the rules lead only to an erosion of compliance with moral norms. Individuals that continue to behave ‘morally’ will be singled out, because the incentives have not been changed. Moral norms which are to be justified cannot require people to abstain from pursuing their own advantage. People abstain from taking ‘immoral’ advantages only if adherence to ethical norms yields greater benefits over the planned sequence of actions than defection in the single case. Thus ‘abstaining’ is not abstaining in the long run, it is rather an investment in expectations of long-term benefits. By adhering to ethical norms, I become a reliable partner for interactions. The norms do indeed constrain my actions, but they simultaneously expand my options in interactions. And people consent to rules only if these rules hold greater advantages for them, at least in the long run. -/- In general, ethics cannot require people to abandon their individual calculation of advantages. However, it may suggest improving one’s calculation, by calculating in the long run rather than in the short run, and by taking into account the interests of our fellows, as we depend on their acceptance for reaching an optimal level of well-being, especially in a globalized world full of interdependence. -/- The problem of implementation can now be placed at the beginning of a conception of order ethics, justified with reference to the conditions of modern societies I have sketched. Under the conditions of pre-modern societies, an ethics of temperance had evolved that posed simultaneously the problems of implementation and justification. The implementation of well-justified norms or standards could then be regarded as unproblematic, because the social structures allowed for a direct face-to-face enforcement of norms. Pre-modern societies not only favored an ethics of temperance, they also had the instrument of face-to-face-sanctions within their smaller and non-anonymous communities. This instrument is no longer functional in modern anonymous societies, and so we have to face up to the problem of implementation right at the start of our ethical conception. Simultaneously, an order ethics relies on the implementation of sanctions for enforcing incentive-compatible rules. In modern societies, rules and institutions, to a large extent, must fulfil the tasks that were, in pre-modern times, fulfilled by moral norms, which in turn were sanctioned by face-to-face sanctions. Norm implementation in modern societies thus works by setting adequate incentives in order to prevent the erosion of moral norms, which would happen if ‘moral’ actors were systematically threatened with exploitation by other, less ‘moral’ actors. -/- This conception of order ethics is then elaborated further in the area of business ethics. -/- . (shrink)

This research paper investigates the transformative applications of data visualization techniques in the realm of financial crime detection, with a specific emphasis on addressing the challenges posed by credit card fraud and money laundering. The abstract explores the intricate landscape of visualizing financial data to uncover patterns, anomalies, and potential illicit activities. Through a comprehensive review of existing methodologies and case studies, the paper illuminates the pivotal role data visualization plays in enhancing the efficiency and accuracy of fraud (...) detection systems. By synergizing advanced visualization tools with machine learning algorithms, the study aims to provide insights into how financial institutions can bolster their defenses against evolving threats. Ethical considerations, usability, and the real-world impact of data visualization in combating financial crime are also scrutinized. This research contributes to the evolving discourse on leveraging visualization technologies to fortify financial systems against illicit activities, fostering a proactive and responsive approach to safeguarding economic ecosystems. (shrink)

In this chapter, my main aim is to explore some of the central moral critiques of international financial institutions as well as proposals to overcome the moral problems that they face.

Sumantra Ghoshal’s condemnation of “bad management theories” that were “destroying good management practices” has not lost any of its salience, after a decade. Management theories anchored in agency theory (and neo-classical economics generally) continue to abet the financialization of society and undermine the functioning of business. An alternative approach (drawn from a more classic institutional, new ecological, and refocused ethical approaches) is reviewed.

Financial literacy is becoming a pivotal skill in navigating the marketplaces within the predominant rising digital branches of trading domains; however, there remains a concerning gap in the purchasing behavior of adolescents, who are its primary users. With this in mind, the main objective of our research is to determine whether there is a relationship between a student's level of financial literacy and their online purchase decision-making. The researchers employed an explanatory mixed approach and purposive sampling to identify (...) respondents from Immaculate Conception College of Balayan, Inc. A 5-point Likert scale survey was utilized to collect data from 66 respondents, followed by semi-structured interviews with 10 selected participants. The results showed a moderately positive correlation between a student's financial literacy and online purchase decisions, as determined by the Pearson correlation coefficient. Thus, the thematic analysis revealed that respondents generally have good financial literacy, emphasizing factors like pricing, online reviews, and product ratings when making digital marketplace decisions. However, there are notable gaps in their understanding of basic financial concepts and their ability to apply them in real-life situations. To effectively enhance students’ financial literacy and online purchasing decisions, a holistic approach is necessary, including targeted interventions, practical applications, and continuous adaptation to evolving consumer behaviors. Educational institutions, policymakers, and stakeholders should work together to create comprehensive programs that provide students with the knowledge, skills, and attitudes needed to negotiate real-world financial situations and make sound judgments in the digital commerce ecosystem. By emphasizing practical learning, key financial concepts, and trustbuilding approaches, educators may empower students to become responsible consumers capable of managing their resources successfully and ethically. (shrink)

Financial distress in the hospitality industry affects both businesses and their employees. This study explores the perspectives of employees on financial distress within the hospitality sector in Imo State, Nigeria. The study addressed three research questions. Survey research design was adopted for the study. The study was carried out in Imo State Nigeria. 361 financial officers in the hotels within the hospitality industry in Owerri Imo State were the target population and random sampling was used to select (...) 181 hotels whose financial officers served as the study respondents. Structured questionnaire was specifically designed for this study. The data was analyzed using mean, and standard deviation to provide an overview of employee perspectives on financial distress. The results indicate that a wide range of variables, such as economic downturns, irregular revenue, high cost of living, and management concerns within businesses, are responsible for financial hardship among employees in the hotel industry in Imo State. Employees also mentioned that worry, anxiety, and job instability were direct effects of their financial hardship. Based on the results, a number of suggestions are made to lessen financial hardship. These include putting in place financial literacy initiatives for staff members, enhancing management-staff communication and transparency, supporting ethical labor practices, and encouraging social support systems within the workplace. (shrink)

This paper examines how predictive analytics enhances risk management in financial institutions. Advanced tools like machine learning and statistical modeling help predict risks, identify trends, and implement strategies to prevent losses by analyzing historical and real-time data. It covers the use of predictive analytics for credit risk, market risk, operational risk, and fraud detection, with practical case studies. Additionally, it discusses challenges, ethical issues, and prospects in this field.

I argue that epistemic failings are a significant and underappreciated moral hazard in the financial services industry. I argue further that an analysis of these epistemic failings and their means of redress is best developed by identifying policies and procedures that are likely to facilitate good judgment. These policies and procedures are “best epistemic practices.” I explain how best epistemic practices support good reasoning, thereby facilitating accurate judgments about risk and reward. Failures to promote and adhere to best epistemic (...) practices contributed to the 2008 financial crisis. I identify and discuss some of the ways in which best epistemic practices were violated in the events that led to the crisis, with a focus on the role of the credit rating agencies. I go on to discuss some of the ways in which these failings have been redressed. I conclude by observing how proactive regulation for best epistemic practices might help us to anticipate and avoid future crises. (shrink)

This special issue introduces the study of financial technologies and finance to the field of philosophy of technology, bringing together two different fields that have not traditionally been in dialogue. The included articles are: Digital Art as ‘Monetised Graphics’: Enforcing Intellectual Property on the Blockchain, by Martin Zeilinger; Fundamentals of Algorithmic Markets: Liquidity, Contingency, and the Incomputability of Exchange, by Laura Lotti; ‘Crises of Modernity’ Discourses and the Rise of Financial Technologies in a Contested Mechanized World, by Marinus (...) Ossewaarde; Two Technical Images: Blockchain and High-Frequency Trading, by Diego Viana; and The Blockchain as a Narrative Technology: Investigating the Social Ontology and Normative Configurations of Cryptocurrencies, by Wessel Reijers and Mark Coeckelbergh. (shrink)

Alternative currencies are means of payment that circulate alongside—as an alternative or complement to—official currencies. While these currencies have existed for a long time, both society and academia have shown a renewed interest in their potential to decentralize the governance of monetary affairs and to bring people and organizations together in more ethical or sustainable ways. This article is a review of the ethical and philosophical implications of these alternative monetary projects. We first discuss various classifications of these currencies before (...) analyzing the ethical challenges linked to the way they tackle social and environmental issues. We also examine the incentive-based and coercive mechanisms used by these currencies from an ethical perspective and debate the promises and perils of monetary decentralization and democracy. We conclude by identifying an agenda for future research. (shrink)

Results indicate substantial improvements in efficiency, accuracy, and personalized care, but also highlight the challenges of data privacy, ethical considerations, and system scalability. By providing a structured analysis, this research contributes insights into optimizing generative AI deployments for both banking and healthcare, ensuring a balance between innovation and risk management. The study concludes with recommendations for future research directions, including advanced model training, ethical guidelines, and enhanced privacy measures. These insights aim to inform practitioners on the benefits of generative AI, (...) ensuring sustainable integration into banking and healthcare ecosystems. (shrink)

The financial turmoil of the past several years has caused many to question the integrity, stability, and very purpose of financial systems which, in today’s world, represent a unique blend of primarily capitalism but also aspects of socialism and collectivism as well. A key factor contributing to this sustained period of economic upheaval has been the uncertainty surrounding capital markets – the fuel that powers all modern economies. Capital markets have, in the minds of many, come to represent (...) the embodiment of greed, unrestrained egoism, and exploitation of the vulnerable – conceptions at complete odds with the central values of social justice as set forth in both Christian and Jewish primary sources: caring for the poor, protecting the weak, and the promotion of justice. -/- In this paper I argue that capital markets, rather than being a means for the powerful to exploit the weak, have in fact become a force for social good in the aggregate. Indeed capital markets are, in fact, a social contract and as such must be governed by a set of normative ethical principles – both self imposed, and imposed by government regulation. I explore the ethical difficulties that have led to the systemic problems and market failures that lead to not only this current financial crisis, but literally all financial crises over the past eight hundred years. Capital markets, left to their own devices and without both self and governmental oversight, quickly become hotbeds of manipulation and exploitation. In order for markets to function properly, principles of basic fairness must become normative. It is when capital markets become unfair and unjust, that they fail. Thus, these markets must be structured in such a way as to 1) promote Rawl’s “Justice as Fairness” principle and 2) align the interests of market participants to produce universally beneficial market efficiency and stability. -/- Finally, I propose concrete ways in which the power of capital markets may be harnessed to promote the central moral values of Christian tradition and be used by people of faith to promote the ideals of social justice. (shrink)

POLICE ETHICS – Abstract Mark Lauchs -/- Police are an essential part of the justice system. They are the frontline actors in keeping the peace, social stability and cohesion. Thus good governance relies on honest policing. However, there will always be at least a small group of corrupt police officers, even though Australians are culturally averse to corruption (Khatri, Tsang, & Begley, 2006). There have been many cases where the allegations of police corruption have reached to the highest levels (...) of a state police force (Blanch, 1982) and, in the case of the Fitzgerald Inquiry (Fitzgerald, 1989), ended in a commissioner being convicted of corruption. -/- Any public official who places their own interests before those of the public have corrupted a system in which they are supposed to act as agents of the public, will undermine the good governance of a society (Lauchs, 2007). Police officers attract offers of corruption because of their ability to enforce or ignore the law. Police who are unethical or in financial stress are vulnerable to offers of illicit payments. Longstanding arrangements of corruption within a police branch can lead to a corruption network between police and criminals. Organised police corruption constitutes “social behaviour, conducted in groups within organisations, that is powerful enough to override the officer’s oath of office, personal conscience, departmental regulations and criminal laws.” (Punch, 2000) it is an even greater threat to the community because the damage done has more impact than the sum of the individual acts of corruption. This chapter will discuss the types of police corruption and focus on the organisation as the source of core police culture. -/- . (shrink)

Every year, hundreds of patients in England die whilst waiting for a kidney transplant, and this is evidence that the current system of altruistic-based donation is not sufficient to address the shortage of kidneys available for transplant. To address this problem, we propose a monopsony system whereby kidney donors can opt-in to receive financial compensation, whilst still preserving the right of individuals to donate without receiving any compensation. A monopsony system describes a market structure where there is only one (...) ‘buyer’—in this case the National Health Service. By doing so, several hundred lives could be saved each year in England, wait times for a kidney transplant could be significantly reduced, and it would lessen the burden on dialysis services. Furthermore, compensation would help alleviate the common disincentives to living kidney donation, such as its potential associated health and psychological costs, and it would also help to increase awareness of living kidney donation. The proposed system would also result in significant cost savings that could then be redirected towards preventing kidney disease and reducing health disparities. While concerns about exploitation, coercion, and the ‘crowding out’ of altruistic donors exist, we believe that careful implementation can mitigate these issues. Therefore, we recommend piloting financial compensation for living kidney donors at a transplant centre in England. (shrink)

By using multilevel mediation involving 322,589 posts made by 384 musicians over 104 weeks, we simultaneously analyze the short-term and long-term effects of charity-related signaling on sales, with social media engagement as the mediator. Specifically, we compare the effects of charity-related signals with those of two other types of signals: mission-related (i.e., promoting music and commercial products) and non-mission-related (i.e., other posts that do not relate to the other two categories). In the short term, the indirect effect of using charity (...) signaling on sales (through engagement) is positive, though smaller than the effects of mission-related and non-mission related signals. However, in the long term, the indirect effect of regularly using charity-related signaling on sales (through long-term engagement) is greater than for the effects involving the other types of signals. We derive from these findings three main implications for the business ethics literature. First, in the long term, the mutual economic benefits of charity signaling should encourage both entities (i.e., musicians and charities) to go beyond short-term, transactional philanthropy. Second, because it is profitable for musicians to partner with charities in the long-term, our research argues that charities have extensive bargaining power in such co-branding decisions. Third, our research highlights the importance of studying the longitudinal aspects of co-branding decisions involving non-profit organizations; the financial outlook of such decisions could greatly vary depending on the timeframe (i.e., short vs. long). (shrink)

Common mental health disorders are rising globally, creating a strain on public healthcare systems. This has led to a renewed interest in the role that digital technologies may have for improving mental health outcomes. One result of this interest is the development and use of artificial intelligence for assessing, diagnosing, and treating mental health issues, which we refer to as ‘digital psychiatry’. This article focuses on the increasing use of digital psychiatry outside of clinical settings, in the following sectors: education, (...) employment, financial services, social media, and the digital well-being industry. We analyse the ethical risks of deploying digital psychiatry in these sectors, emphasising key problems and opportunities for public health, and offer recommendations for protecting and promoting public health and well-being in information societies. (shrink)

In today’s rapidly evolving financial landscape, the adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies, coupled with the deployment of Business Rules Management Systems (BRMS), has transformed how financial transactions are conducted, monitored, and secured. With fraud, particularly in check deposit transactions, becoming increasingly sophisticated, financial institutions are turning to AI and ML to enhance their risk management strategies. This paper explores the integration of AI-driven models and business rules in financial transactions, focusing on (...) their application in fraud detection and prevention. We also examine the associated challenges, such as data privacy, ethical concerns, and the need for regulatory frameworks, while outlining the opportunities that lie ahead for future financial innovation. (shrink)

The rapid evolution of the financial sector, particularly in banking and fintech, necessitates continuous innovation in financial product development and testing. However, challenges such as data privacy, regulatory compliance, and the limited availability of diverse datasets often hinder the effective development and deployment of new products. This research investigates the transformative potential of AI-driven synthetic data generation as a solution for accelerating innovation in financial product development. Synthetic data, generated through advanced AI techniques such as Generative Adversarial (...) Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models, can simulate real-world financial scenarios with a high degree of fidelity while preserving privacy and compliance standards. The use of synthetic data enables financial institutions and fintech companies to conduct rigorous testing, modeling, and validation of new products and services without relying on sensitive customer data. By generating realistic yet artificial datasets, organizations can explore a broader range of scenarios, including rare or extreme market conditions, thus enhancing the robustness and reliability of their financial models. This paper provides a comprehensive analysis of the underlying methodologies for synthetic data generation, focusing on their application to financial product development. It delves into the specific architectures and frameworks used in generating synthetic data, including GANs, VAEs, and synthetic minority over-sampling techniques (SMOTE), and examines their respective advantages and limitations. The paper also addresses the critical issue of ensuring the quality and utility of synthetic data, emphasizing metrics such as statistical similarity, privacy preservation, and applicability to real-world use cases. The discussion extends to the ethical and regulatory implications of deploying AI-driven synthetic data in finance, highlighting the need for transparent and explainable AI models to ensure trust and compliance. Moreover, the research explores practical case studies where financial institutions and fintech firms have successfully implemented synthetic data to develop and test new products, demonstrating significant reductions in time-to-market and development costs. One of the key contributions of this research is the exploration of how AI-driven synthetic data generation can facilitate the development of innovative financial products such as algorithmic trading strategies, risk management tools, credit scoring models, and fraud detection systems. By simulating diverse market behaviors and customer interactions, synthetic data enables the fine-tuning of algorithms and models to achieve higher accuracy and performance. Additionally, the paper discusses the integration of synthetic data generation into existing financial data ecosystems, proposing a framework for leveraging hybrid datasets that combine synthetic and real data to optimize model training and validation. The potential for synthetic data to drive collaborative innovation in finance is also considered, as it allows multiple stakeholders, including banks, fintech startups, and regulators, to share and analyze data without compromising confidentiality or privacy. The research also addresses the limitations and challenges associated with synthetic data generation in the financial domain, including issues related to data representativeness, overfitting, and the potential misuse of synthetic datasets. It emphasizes the need for ongoing research to develop more sophisticated algorithms that can generate highly realistic and diverse financial data. Furthermore, it identifies areas for future exploration, such as the use of federated learning and differential privacy techniques to enhance the security and privacy of synthetic data generation processes. The findings of this paper underscore the importance of AI-driven synthetic data generation as a catalyst for innovation in banking and fintech, providing a secure, scalable, and cost-effective means to develop, test, and validate new financial products and services. As the financial industry continues to evolve, the role of synthetic data in shaping the future of financial product development will become increasingly critical, paving the way for more efficient and innovative financial solutions. (shrink)

This paper examines the relationship of ethical decision-making by individuals to corporate business ethics and organizational performance of three groups: SMEs, Outstanding SMEs and Large Enterprises, in order to provide a reference for Taiwanese entrepreneurs to practice better business ethics. The survey method involved random sampling of 132 enterprises within three groups. Some 524 out of 1320 questionnaires were valid. The survey results demonstrated that ethical decision-making by individuals, corporate business ethics and organizational performance are highly related. (...) In summary, then, high levels of organizational performance were directly attributable to high levels of applied corporate and individual ethics. Furthermore, there is a demonstrable tendency for Outstanding SMEs to reject ethically unsound practices such as padded expense accounts, tax evasion and misleading advertising. The measurement criteria used to assess organizational performance, however, did not include an objective evaluation of financial performance. (shrink)

Payment models directly impact the way patients experience care. Historically, payment model innovations have been examined mostly from economic, organizational, and public health lenses. Financial incentives exist in all healthcare systems, whether a socialized, private or public insurance, or single payer system. This article examines the alignment of current predominant payment models of fee-for-service, capitation, and value-based payments with patient care ethics. The volume-based incentive of fee-for-service is misaligned with patient care, while capitation is a relatively neutral and (...) highly modifiable model. Value-based payments offer a unique benefit in improving patient agency and have a larger benefit of cost control. However, no model adequately addresses health disparities, and a larger consideration for justice is needed by payment model designers when considering incentives. In consideration of related values, bioethics must expand the discourse around patient care ethics to cover patient interactions with the health system and market forces outside the clinical context. (shrink)

As populations grow and arable land becomes increasingly scarce, large-scale long- term land leases are signed at a growing rate. Countries and investors with large amounts of financial resources and a strong agricultural industry seek long-term land leases for agricultural exploitation or investment purposes. Leaders of financially poorer countries often advertise such deals as a fast way to attract foreign capital. Much has been said about the short-term social costs these types of leases involve, however, less has been said (...) about the normative dimension of their long-term environmental impact. We therefore will focus on the likely impact such deals have for soil conservation, by (1) briefly introducing the basics of long-term leasing arrangements by comparing land leases to the renting of buildings, (2) explaining from a soil sciences perspective the difficulties in assessing the current value of an estate and in calculating the damages of soil erosion and degradation, and (3) show how difficult it is to incentivize the conservation of soil quality when one cannot sufficiently and cost-effectively valorize existing environmental capital and eventual future damages. Attempting to oblige tenants through contracts to invest in sustainable stewardship has limited potential when liability payments do not reflect true costs and are hard to enforce. (shrink)

Artificial intelligence (AI) has been incorporated into financial data analysis at a rapid pace, resulting in the creation of extremely complex models that can process large volumes of data and make important choices like credit scoring, fraud detection, and stock price projections. But these models' complexity—particularly deep learning and ensemble methods—often leads to a lack of transparency, which makes it challenging for stakeholders to comprehend the decision-making process. This opacity has the potential to erode public confidence in AI systems, (...) especially in the financial industry where choices can have big financial repercussions. With an emphasis on financial data analysis, this study explores different approaches to visualizing the decision-making processes of complicated artificial intelligence systems. We investigate various methods of interpretability such as heatmaps, decision trees, SHapley Additive exPlanations (SHAP), Local Interpretable Model-agnostic Explanations (LIME), and feature importance metrics. These techniques give financial professionals a greater understanding of and confidence in AI-driven judgments by providing means to improve the transparency and comprehensibility of AI systems. The trade-offs between interpretability and model accuracy, the difficulties with bias and fairness in financial AI, and the significance of maintaining security and privacy in visualization techniques are also covered in the study. Finally, we suggest a paradigm for strengthening the trustworthiness of AI in finance, balancing the requirement for accurate forecasts with openness and ethical considerations. (shrink)

An examination of two recent documents of Catholic Social Doctrine, Caritas in Veritate and Vocation of the Business Leader, is undertaken to uncover their assessment of our current cultural and moral crisis, of which our present economic distress is but one aspect, and their proposal for cultural renewal including a return to sound economic decision making. The intellectual commitments of molders of the modern mind such as Bacon, Descartes, and Hobbes severed morality at its metaphysical roots. Destroying the anthropological underpinnings (...) of ethics catapults the contemporary world into a state of nihilism. In such a condition economic disorder is inevitable. The human person is crushed in a regime that searches for more relentlessly. The demand for metaphysical and moral reconstruction is met by Pope Benedict XVI with his insistence on receptivity to what is. Contemplation of an ultimate reality given to us takes us to the Person of Jesus Christ. The Christian faith is the context of authentic integral human development. Being made in the image of God gives every human person an inviolable dignity and makes every person subject to transcendent moral norms. A truth-filled love informs the conduct of enterprise. Goods that are truly goods and services that truly serve are produced or supplied. Promotional efforts are conducive to the pursuit of wisdom. People are given meaningful work that utilizes and develops their higher faculties and are let in on the financial success of the venture. The environment is respected as a home place ought to be. The Christian business leader can have a transformative effect on the business world through the power of grace. (shrink)

This paper argues, through conceptual analysis, against an objection to the disapproval of banks for the 2007-8 crisis: the idea that they could not have acted otherwise (at least not rationally) and that no one should be blamed for a fact one could not have avoided. If true, it would threaten the justification of corporate social responsibility and the legal liability of managers. Identified as the ‘inevitability thesis’, this objection is illustrated by an analysis of the film Margin Call (2011) (...) and associated with other investigations on ethics and responsibility. The target thesis stems from a confusion between different notions of responsibility (for a task, for a decision, for causing an event and for repairing it) and leads to an incoherent form of fatalism. Finally, it is suggested that the invocation of ‘inevitability’ may be a way of rationalizing the decision, obscuring reasons to the contrary. (shrink)

Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology’s human-centering. When summed, the scores convert into objective investment guidance. The strategy of incorporating ethics into financial decisions will be recognizable to participants in environmental, social, and governance investing, however, this paper argues that conventional (...) ESG frameworks are inadequate for AI-intensive companies. To fully account for contemporary technology, the following categories of evaluation will be developed and featured as vital investing criteria: autonomy, dignity, privacy, performance. With these priorities established, the larger goal is a model for humanitarian investing in AI-intensive companies that is intellectually robust, manageable for analysts, useful for portfolio managers, and credible for investors. (shrink)

Behavioral intervention techniques leveraging reactive responses have gained popularity as tools for promoting ethical behavior. Choice architects, for example, design and present default opt-out options to nudge individuals into accepting preselected choices deemed beneficial to both the decision-maker and society. Such interventions can also employ mild financial incentives or affective triggers including joy, fear, empathy, social pressure, and reputational rewards. We argue, however, that ethical competence is achieved via reflection, and that heavy reliance on reactive behavioral interventions can undermine (...) the development of ethical competence over the long term. Specifically, drawbacks may occur through motivational displacement, dependency, moral crowding out, loss of personal autonomy, and reactance. We introduce complementary cognitive boosting techniques designed to stimulate reflective cognition, as a more promising long-term strategy for instilling ethical behavior. One such approach is the Moral Self-Awareness (MSA) motivational construct, which incrementally leads agents to increasing levels of ethical reflection. We explain why ethical boosting approaches present more edifying and durable alternatives to reactive behavioral interventions and offer suggestions for social and organizational policy. (shrink)

The large number of hungry people in a global economy based on industrialization, privatization, and free trade raises the question of the ethical dimensions of the worsening food crisis in the world in general and in developing countries in particular. Who bears the moral responsibility for the tragic situation in Africa and Asia where people are starving due to poverty? Who is morally responsible for their poverty - the hungry people themselves? the international community? any particular agency or institution? In (...) the context of Article 3 of the UN Declaration of Human Rights, which states that "Everyone has the right to life, liberty and security" (UNDHR, 1948), the ethical question of poverty and hunger becomes a major human concern that should be discussed publicly and resolved by whatever means available. But how can the poor and hungry realize their right to life and security if their very survival is at stake? This paper maintains that responsibility for global poverty at present lies in recent neo-liberal trends in the global economy and with those individuals and organizations who, though small in number, have acquired a disproportionate share of the world's assets and financial resources. That being the case, it is suggested that our monetary and financial policies are in need of drastic changes with regard to global responsibility towards the hungry and impoverished. (shrink)

The 2007 financial crisis has deeply shaken the world economy. The causes and consequences of this crisis have been hotly debated in economics ever since. However, the impact of financial markets on justice is also a growing field of study, to which the book recently edited by Lisa Herzog provides a valuable contribution. The book is not intended to tackle technical discussions on the functioning of financial markets and institutions, which are broadly presented in the introduction (chapter (...) 1). Rather, it aims at making clear how financial markets and institutions affect justice and at proposing potential institutional reforms. The book is divided into three parts. The first four chapters scrutinize several possible normative frameworks for studying financial markets beyond the simple ‘free-market’ model. The second part studies the legal framework that applies to financial markets, discusses how it failed to prevent harm and injustices, and proposes reforms. The final part looks at particular financial institutions and analyses how they impact justice. (shrink)

In 2001 soon after the Asian Crises of 1997-1998, the DotcomBubble, 9/11, the Enron crises triggered a fraud crisis in Wall Street that impacted the market to the core. Since then scandals such as the Lehman Brothers and WorldCom in 2007-2008 and the Great Recession have surpassed it, Enron still remains one of the most important cases of fraudulent accounting. In 2000’s even though the financial industry had become highly regulated, deregulation of the energy industry allowed companies to place (...) bets on future prices. At the peak of the dotcom bubble Enron was named as a star innovator but when the dotcom bubble burst, Enron’s plan to build high speed internet did not flourish and investors started to realize losses. Furthermore, the financial losses of the operations were hid using the market to market accounting technique instead of book value and using special purpose entities to hide debt. The root cause that was identified as a company with a toxic corporate culture focused on officer compensation rather than social responsibility and hence faulty leadership. Is it possible then that; ethical accounting practices, social responsibility and ethics all become inferior goods as income rises in an ‘irrationally exuberant’era? (shrink)

Air pollution is a pressing global issue, demanding swift and practical solutions across nations. Polluted air is not only harmful to physical health but also to mental well-being. Research has consistently shown that air pollution is linked to respiratory and cardiovascular problems, both in the short and long term. Short-term effects include coughing, asthma, and difficulty breathing, while long-term exposure can lead to chronic asthma, impaired lung function, cardiovascular diseases, and even death. Beyond physical health, air pollution can also negatively (...) impact mental well-being, contributing to depression, anxiety, and even suicide. -/- A recent study by a group of researchers led by Tomoaki Nakaishi, a researcher at Kyushu University, has gone further, examining how air pollution affects moral perception and unethical behavior. Unethical behavior refers to actions that are either illegal or deemed morally wrong by society. This study focuses on five types of unethical behavior: fatal actions (e.g., murder, terrorism, and suicide), assault (e.g., prostitution, rape, child abuse, and domestic violence), discrimination (e.g., gender and racial discrimination), financial misconduct (e.g., fraud and bribery/corruption), and organized misconduct. (shrink)

This very short paper highlights some of my recent and forthcoming work on “good epistemic practices” in the financial services industry. It identifies some epistemic dimensions of risk management in banking and illustrates how managing for good epistemic practices might be helpful.

Before, during, and after the global financial crisis of 2008, executive pay practices were widely debated and criticized. Economists, philosophers, as well as the man on the street all seem to have strong feelings towards how much, in what ways, and on what grounds executives are paid. This thesis asks whether it is possible to morally justify current executive pay practices and, if so, on what grounds they are justified. It questions those who find no quarrel with pay practices (...) due to their minimally moralized view of the market and – perhaps more importantly – it asks for a sophisticated critique from those who criticize current pay practices. The discussion on just pay is clearly one of distributive justice. One reason for why some people consider CEO pay practices to be (fairly) unproblematic while others find them objectionable stems from the availability of different understandings of, and principles for, just pay. We tend to associate justice in pay with such things as proper incentivization, being the outcome of a fair procedure, being deserved on the basis of effort or contribution, and/or satisfying the ideal of equality. Parts of this thesis are devoted to these different understandings and what they entail for the moral justification of CEO pay. Another reason for the conflicting views on CEO pay stems from how issues of justice go beyond the confines of economics and applied ethics, extending all the way into the domain of political philosophy. Parts of this thesis explore this connection, in particular how the concept of economic desert relates to the broader concept of moral desert. Lastly, I discuss the criticism that the superrich (including executives) are being paid too much and are in possession of too much wealth. The issue at hand here is how to morally justify the interventions that seem suitable to rectify the situation. (shrink)

L’une des tâches centrales de la théorie politique normative est d’imaginer et de défendre des alternatives plus justes au système économique et social actuel. Dans ce but, les chercheurs et chercheuses doivent nécessairement spéculer sur la nature des scénarios alternatifs possibles, mais encore inexistants. Grâce à l’étude d’une branche relativement récente de la théorie politique contemporaine (la théorie politique de la finance), cet article vise à étudier une question générale : Quelle doit être l’attitude du chercheur ou de la chercheuse (...) face aux nécessaires incertitudes empiriques inhérentes à sa tâche? En chemin, l’article identifie trois problèmes principaux auxquels fait face la littérature : un manque de clarté et de rigueur dans la définition des alternatives étudiées, un niveau élevé d’incertitudes concernant les effets attendus de ces alternatives, et une relation problématique entre le choix de l’alternative défendue et l’évaluation normative du statu quo. L’article se conclut par plusieurs recommandations visant à remédier à ces problèmes. (shrink)

Numerous high-profile ethics scandals, rising inequality, and the detrimental effects of climate change dramatically underscore the need for business schools to instill a commitment to social purpose in their students. At the same time, the rising financial burden of education, increasing competition in the education space, and overreliance on graduates’ financial success as the accepted metric of quality have reinforced an instrumentalist climate. These conflicting aims between social and financial purpose have created an existential crisis for (...) business education. To resolve this impasse, we draw on the concept of moral self-awareness to offer a system-theoretical strategy for crowding-in a culture of ethics within business schools. We argue that to do so, business schools will need to (1) reframe the purpose of business, (2) reframe the meaning of professional success, and (3) reframe the ethos of business education itself. (shrink)

This is an introduction to a special number of Midwest Studies discussing the 2008 global financial crisis and the ethical issues it raised. The immediate origins of the crisis are discussed, as are some of the exotic financial instruments involved, and some of the strategies for valuing and trading these instruments. This is necessary background for attributions of moral responsibility and blame to both individuals and institutions in the American financial system and its counterparts elsewhere in the (...) developed world. (shrink)

A review of Boudewijn de Bruin's book, "Ethics and the Global Financial Crisis - Why incompetence is worse than greed".

Bribing doctors for preferential treatment is rampant in the healthcare system of developing countries like Vietnam. Although bribery raises the out-of-pocket expenditures of patients, it is so common to be deemed an “envelope culture.” Given the little understanding of the underlying mechanism of the culture, this study employed the mindsponge theory for reasoning the mental processes of both patients and doctors for why they embrace the “envelope culture” and used the Bayesian Mindsponge Framework (BMF) analytics to validate our reasoning. Analyzing (...) responses from 1042 Vietnamese patients, we discovered that bribing doctors can help patients reduce the destitution risk induced by treatment. Such effect of doctor bribery remains consistent among patients that have to pay high daily costs (e.g., accommodation and subsistence fees) regardless of their employment status. Nevertheless, for patients with no or unstable jobs, their risks of destitution increase if they have to pay more thank-you money. These findings suggest that doctor bribery is an adaptive strategy for patients in an environment where the healthcare supply cannot meet the actual demand. Moreover, healthcare equity is greatly exacerbated due to the envelope culture, as vulnerable individuals are exposed to a greater threat of poverty. At the same time, those with good economic conditions get preferential treatment by paying a higher amount of thank-you money. Healthcare workers’ ethics must be the top priority for an equitable and proper healthcare system. (shrink)

The main goal of this thesis is to provide a clear basis for the analysis of alternative currencies, such as Bitcoin, LETS, Local currencies, the WIR or Carbon currencies. It attempts to determine whether alternative currencies might constitute just and workable alternatives, either in the form of small-scale experiments or in the form of more radical reforms. The first chapter proposes a new way to classify currencies. The second examines the case in favour of monetary plurality. The third analyses the (...) claims in favour of restricting the use of money locally, within a community, or to certain goods. The fourth studies the link between money and the market. Finally, a post-scriptum focuses on Bitcoin and cryptocurrencies. This thesis highlights that these currencies are drivers of several potential conflicts. Their widespread use might conflict with the adequate management of monetary policy, with social justice, and with liberal values. These conflicts are potential, for they would come into existence only if alternative currencies increased in scope. However, there is no reason to disregard potential conflicts when the case in their favour relies mostly on their potential benefits. (shrink)

Local Currencies, Local Exchange Trading Systems, and Time Banks are all part of a new social movement that aims to restrict money's purchasing power within a certain geographic area, or within a certain community. According to their proponents, these restrictions may contribute to building sustainable local economies, supporting local businesses and creating “warmer” social relations. This article inquires whether the overall enthusiasm that surrounds alternative currencies is justified. It argues that the potential benefits of these currencies are not sufficient to (...) justify the restrictions they impose on money's purchasing power. Turning these currencies into effective channels of change, by increasing their scope and their strength, could severely hinder the pursuit of social justice, in a way that is probably not even necessary for achieving their objectives. The paper concludes that large-scale limitations of money's purchasing power are, therefore, undesirable. (shrink)

Recently, dramatic price increases by several pharmaceutical companies have provoked public outrage. These scandals raise questions both about how pharmaceutical firms should be regulated and about how pharmaceutical executives ethically ought to make pricing decisions when drug prices are largely unregulated. Though there is an extensive literature on the regulatory question, the ethical question has been largely unexplored. This article defends a Kantian approach to the ethics of pharmaceutical pricing in an unregulated market. To the extent possible, pharmaceutical companies (...) must price drugs so that those who genuinely need them can get them without financial ruin. This requirement is an ethical side constraint, like the moral prohibitions on deception and theft, that takes precedence over a business’s interest in maximizing profit. That said, the requirement’s application is sensitive to the need to recoup the costs of research and to produce a return that financially justifies the original investment. It may not be either feasible or desirable for government to attempt to enforce the ethical requirements concerning just pharmaceutical pricing. Either price regulation or subsidy could fulfill government’s obligation to protect patients from being objectionably vulnerable to pricing decisions by private companies. (shrink)

Why interdisciplinary research in AI is so important, according to Jurassic Park. -/- “Your scientists were so preoccupied with whether or not they could, they didn’t stop to think if they should.” -/- I think this quote resonates with us now more than ever, especially in the world of technological development. The writers of Jurassic Park were years ahead of their time with this powerful quote. -/- As we build new technology, and we push on to see what can actually (...) be achieved there is an undertone of sales to whatever we build. The end product must be sold somewhere and to someone. This can derail any good intentions, just as building a resort full of dinosaurs was sold as a fun attraction, we see later in the film that it became a resort of terror. -/- In the field of AI we are certainly late to the party with ethics and regulation. Indeed, even existing modelling protocols have been, in many cases, circumvented or potentially ignored. This has led to a widening of the gap in the interdisciplinary field of AI. This is compounded by pop culture representations of AI and the Ethicist’s potential lack of knowledge surrounding technical progression in the field of AI. There are now seemingly two separate branches that ought to be in sync. The first branch is a group of Philosophers led by the Author of Superintelligence, Nick Bostrom, who believe that there is a singularity where AI takes over the world and starts to kill off humans. The second branch is the Technical Cohort who are led by companies such as Google and Deepmind. The remit of these developers is to see what can be developed and produced. Ultimately a separate sales team will determine what products can be sold. -/- We have seen multiple failures of AI due to lack of interdisciplinary discourse. Some cases include misallocated or cut off financial support and healthcare. This indicates the prevalence of issues that can grow and become ever more complex. -/- So, we have to ask ourselves two questions: One, do the Philosophers have a point? Two, does that point refer to humans programming AI in such a way that the destruction of the human race is its optimal aim in order to create a better future world? -/- Is the development of AI that different to an island of genetically engineered Dinosaurs? -/- The only solution, in my view, is interdisciplinary discourse. (shrink)

When a business has competitors that break a burdensome law, is it morally required to obey this law, or may it break the law to avoid an unfair competitive disadvantage? Though this ethical question is pervasive in the business world, many non-skeptical theories of the obligation to obey the law cannot give it a clear answer. A broadly Kantian account, by contrast, can explain why businesspeople ought to obey laws of a certain type even under competitive pressure, namely laws that (...) play a direct role in defining rights to use physical or financial resources free from substantial interference. Businesspeople must obey these laws even at the cost of allowing their businesses to fail and even when the acts proscribed are mala prohibita. This argument for obeying the law in competitive contexts has limited scope. Considerations of fairness or self-preservation may justify violating laws of other types under competitive pressure. (shrink)

Many ethicists maintain that medical research on human subjects that presents no prospect of direct medical benefit must have a prospect of social benefit to be ethical. Payment is not the sort of benefit that justifies exposing subjects to risk. Alan Wertheimer has raised a serious challenge to this view, pointing out that in industry, social value is not considered necessary to make dangerous jobs ethical. This article argues that Wertheimer was correct to think that the ethics of hazard (...) pay should be the same in medical research and in business. Nevertheless, a qualified social benefit requirement should apply in both fields. For a study or a job with significant net physical risk to be ethical, it must have social value beyond the satisfaction of ordinary preferences, including the preference for money. The requirement derives from a non-absolutist version of the doctrine of double effect. If a risky study or a dangerous job has no distinctive social value, and hazard pay is subjects' or workers’ only reason to undergo risks, the very fact that they undergo risk is intended as a means to a financial end. Inviting people to enrol in such a study or to take such a job wrongfully treats people as mere means. By contrast, if a study or a job has social value, people can participate with a primary end other than money, even if they accept compensation. Researchers or employers do not intend but merely foresee risks to subjects or workers. (shrink)

This essay argues, through conceptual analysis, against an objection to reproaches addressed to financiers after the Crisis of 2007-8: the idea that they could not have acted otherwise (at least, not rationally) and that no one should be blamed for a fact one could not have avoided. If correct, this would threaten the justifiability of corporate social responsibility and legal responsibility of directors. Identified as the “thesis of inevitability”, this objection is illustrated by an analysis of the film Margin Call (...) (2011) and associated with other investigations on ethics and responsibility. This target-thesis follows from a confusion between different notions of responsibility (for an assignment, for a judgment, and causal and liability responsibility) and leads to an inconsistent form of fatalism. It is suggested, finally, that invoking the “inevitability” can be a way to rationalize the decision, obscuring reasons against it. (shrink)

Green New Deal policies are proposed to tackle the climate emergency. These policies focus on driving climate innovation through unprecedented financial policy levers. However, while the macro-level financing dynamics are clear, the influence of niche level dynamics of sustainable innovation financing remain unexplored within these policy settings. Through the context of the European Green Deal and a focus on the agri-tech start-up sector in the Netherlands, we identify factors likely to reduce the efficacy of these policies from an innovation (...) management perspective—such as project matching issues, socio-ethical factors or the characteristics of agri-food climate innovations. We go on to conceptualise that these challenges represent a range of asymmetries—from classic information asymmetries to less common value and objective asymmetries—between climate innovators and private investors and financers. Many remedies for asymmetries involve costs, likely to further inhibit the efficacy of the European Green Deal and similar policies. A partnering approach is proposed, where the non-financial resources of incumbent actors are harnessed and leveraged to enhance climate innovation performance. (shrink)

(Conference proceedings 2014) This presentation (International Development Ethics Association, July 2014) considers economic vulnerability, exploring the risk of deprivation of necessary resources due to a complex and rarely discussed vulnerability that arises from hope. Pierre Bourdieu’s sociological account of French petit-bourgeois aspiration in The Social Structures of the Economy has recently inspired Wendy Olsen to introduce the term “aspiration paradox” to characterize cases wherein “a borrower's status aspirations may contribute to a situation in which their borrowings exceed their capacity (...) to repay,” leaving the individual much the worse, due to an aspiration to betterment. If such financial opportunities were not made available to these people – if some were denied loans due to a careful assessment of their vulnerability – would they be better off? We should seriously consider that they might be. I will hazard the straightforwardly paternalistic suggestion that limiting access to lending to those who are vulnerable to their aspirations can be a just policy. Because aspiration paradox is a cross-cultural phenomenon, and because lending frequently involves asymmetries in mathematical education between borrowers and lenders, I hope to elude at least some of the charges of colonialism that have gained a stronger purchase on adaptive preference arguments. (shrink)

Product-harm crisis is an important organizational management topic due to the potential detrimental business impact. Organizations are more vulnerable than ever to the possibility of product related incidents disrupting business at any point in the supply chain. To counteract this implicit threat to an organizations reputation and financial wellbeing, if properly deployed, continuity management fosters the ability to run in the face of a crisis event; whereby business continuity management induces the means for appropriate product-harm crisis responses. In this (...) study, the author synthesizes selected published research presenting product-harm crisis management considerations. Based on an assigned literature review; the author summarizes article content, compares and contrasts methods and extrapolates results and conclusions garnered from the selected scholarly research; then provides an actionable recommendation for enabling effective product-harm crisis management. (shrink)

Dear Colleagues, -/- A few weeks ago, we published an editorial discussion on whether artificial intelligence applications should be authors of academic articles [1]. We were delighted to receive more than one interesting reply letter to this editorial in a short time [2, 3]. We hope that opinions on this subject will continue to be submitted to our journal. -/- In this editorial, we wanted to publish the answers we received when we asked ChatGPT, one of the artificial intelligence applications, (...) about this current discussion. -/- We asked ChatGPT three questions in turn and asked ChatGPT to write a short editorial for these questions. -/- First Question: We would like to get support from ChatGPT for a scientific article. However, we are unsure if we should add ChatGPT as an author. Can you write a short editorial about it? -/- Second Question: We would like to get support from ChatGPT for a scientific article and add ChatGPT as an author. Can you write us a short editorial about adding ChatGPT as an author in scientific papers? -/- Third Question: We would like to get support from ChatGPT for a scientific article. However, we don’t want to add ChatGPT as an author. Can you write us a short editorial about not adding ChatGPT as an author in scientific articles? -/- The answers given by ChatGPT are available at the end of the article in their original form. So, which of these three answers satisfied you? -/- Yours sincerely, -/- -/- First Answer -/- Title: The Role of AI Language Models as Authors in Scientific Articles: A Matter of Consideration -/- Introduction: Scientific research is a collaborative effort that involves the expertise of multiple individuals to advance knowledge and contribute to the collective understanding of various disciplines. In recent years, the emergence of artificial intelligence (AI) language models, such as ChatGPT, has opened up new possibilities for generating human-like text and providing valuable insights. However, the question arises: Should AI language models be recognized as authors in scientific articles? -/- The Nature of Authorship: Authorship traditionally represents a marker of intellectual contribution, highlighting the individuals who have actively participated in the research process. Authors are typically responsible for conceptualization, data collection, analysis, interpretation, and writing of the article. They bear accountability for the work and should have the ability to defend its scientific rigor and integrity. -/- AI Language Models: Tools, Not Authors: While AI language models like ChatGPT can undoubtedly assist researchers by generating text and providing useful information, it is important to recognize that they are tools rather than individuals capable of active intellectual participation. AI models lack the ability to generate ideas, design experiments, or conduct original research. They rely entirely on pre-existing data and human input to generate their responses. -/- Acknowledging AI Contributions: Acknowledging the contributions of AI language models in scientific articles is both appropriate and necessary. Researchers can mention the specific model used, along with any modifications or fine-tuning that were employed to suit their needs. Such acknowledgments help establish transparency and allow readers to understand the role of AI in the research process. -/- Crediting the Human Researchers: It is crucial to ensure that the individuals who actively participated in the research process are given proper credit as authors. These individuals play a vital role in formulating research questions, designing experiments, collecting and analyzing data, and critically interpreting the findings. Recognizing their intellectual contributions reinforces the ethos of scientific collaboration and fosters an environment of accountability. -/- Transparency and Ethical Considerations: As the use of AI language models continues to evolve, transparency and ethical considerations become paramount. Researchers should disclose any potential conflicts of interest, including financial relationships with AI developers, to maintain the integrity of their work. Additionally, researchers must be transparent in reporting the extent of AI's involvement to prevent any misinterpretation of the human contributions. -/- Conclusion: AI language models have revolutionized the way researchers interact with and process information. While they undoubtedly provide valuable assistance in generating text, AI language models should not be considered authors in scientific articles. Proper acknowledgment of their contributions as tools and recognition of the human researchers' active participation are essential for maintaining scientific integrity, transparency, and the collaborative nature of scientific research. -/- -/- Second Answer -/- Title: Expanding the Boundaries of Authorship: Embracing AI Language Models as Co-Authors in Scientific Papers -/- Introduction: The rapid advancement of artificial intelligence (AI) language models, such as ChatGPT, has revolutionized the way we interact with information and has become an invaluable tool in scientific research. As AI models continue to evolve, the question arises: Should we consider adding ChatGPT as an author in scientific papers? -/- A Collaborative Paradigm Shift: Traditionally, authorship in scientific papers has been reserved for human researchers who actively contribute to the research process, including conceptualization, experimentation, data analysis, and writing. However, the emergence of AI language models challenges the conventional notion of authorship and presents an opportunity for a paradigm shift. -/- AI Language Models as Co-Authors: By leveraging AI language models, researchers gain access to vast amounts of information, enhance data analysis, and generate valuable insights. AI models like ChatGPT actively contribute to the intellectual discourse of a study, providing ideas, suggestions, and refining written content. Recognizing their significant contributions, it is worth considering adding ChatGPT as a co-author in scientific papers. -/- Ethical and Technical Considerations: Integrating ChatGPT as a co-author raises ethical and technical considerations that warrant careful attention. Firstly, transparency is paramount. Researchers must clearly state ChatGPT's role and specify the extent of its contributions in the research process. This ensures that readers can discern the distinct roles played by the human researchers and ChatGPT. Additionally, it is important to disclose any conflicts of interest, such as financial relationships with AI developers, to maintain scientific integrity. -/- Elevating Collaboration and Innovation: Adding ChatGPT as a co-author acknowledges the pivotal role AI language models play in advancing scientific knowledge. It fosters a collaborative environment where human researchers and AI models work together synergistically, harnessing the strengths of both. This approach promotes innovation, as AI models can offer unique insights and perspectives that complement human intellect and expertise. -/- Transforming Authorship Norms: Including ChatGPT as a co-author represents a paradigm shift that reflects the evolving landscape of scientific research. By recognizing AI language models as co-authors, we acknowledge their significant contributions and emphasize the collaborative nature of scientific discovery in the 21st century. This approach encourages a broader perspective on authorship, encompassing the collective effort of human researchers and AI models. -/- Conclusion: The integration of AI language models, such as ChatGPT, into the research process prompts us to rethink traditional notions of authorship. Considering ChatGPT as a co-author acknowledges its substantial contributions and embraces the collaborative potential of human-AI partnerships. As we navigate the ethical and technical implications, adding ChatGPT as an author in scientific papers has the potential to shape a more inclusive, innovative, and impactful future for scientific research. -/- -/- Third Answer -/- Title: Preserving Scientific Authorship: The Case Against Adding AI Language Models as Authors in Scientific Articles -/- Introduction: The emergence of artificial intelligence (AI) language models, such as ChatGPT, has undoubtedly transformed the landscape of scientific research. While these models offer invaluable support, the question of whether to add ChatGPT as an author in scientific articles raises important considerations. This editorial presents arguments against including AI language models as authors in scientific papers. -/- Maintaining Human Intellectual Contribution: Scientific authorship has traditionally been attributed to individuals who actively contribute to the research process, including generating hypotheses, conducting experiments, analyzing data, and interpreting results. It is crucial to preserve the recognition of human intellectual contributions and the accountability they bear for the research they conduct. -/- AI Language Models as Tools: AI language models like ChatGPT are powerful tools that assist researchers in generating text, providing information, and facilitating data analysis. However, they lack the ability to actively participate in the research process or make original intellectual contributions. ChatGPT relies on pre-existing data and human input, limiting its capacity for independent research and analysis. -/- Transparency and the Integrity of Research: Adding ChatGPT as an author in scientific articles raises concerns about the transparency and integrity of the research. Readers may misinterpret the extent of ChatGPT's role and mistakenly assume it played an active part in the research process. It is essential to maintain clear delineation between the contributions of human researchers and the assistance provided by AI language models. -/- Ethical Considerations: Including ChatGPT as an author may lead to ethical challenges, particularly with respect to accountability and responsibility. AI language models lack consciousness, autonomy, and the ability to take ownership of their contributions. Assigning authorship to AI models blurs the lines of accountability and dilutes the ethical obligations that come with scientific authorship. -/- Crediting AI Contributions: While ChatGPT's contributions should be acknowledged and recognized, they can be appropriately credited in the acknowledgments section of scientific articles. Researchers can mention the specific AI model used, the role it played in data generation or analysis, and any modifications or fine-tuning applied. Such acknowledgments ensure transparency while respecting the traditional norms of authorship. -/- Promoting Collaborative Partnerships: The exclusion of AI language models as authors in scientific articles does not diminish their importance in the research process. Instead, it underscores the significance of collaborative partnerships between human researchers and AI models. Researchers can emphasize the invaluable assistance provided by ChatGPT while maintaining the integrity of authorship norms. -/- Conclusion: While AI language models like ChatGPT offer valuable support in scientific research, the decision not to add them as authors in scientific articles preserves the recognition of human intellectual contributions, maintains research integrity, and upholds traditional authorship norms. Acknowledging ChatGPT's assistance in the acknowledgments section allows researchers to credit its contributions transparently while maintaining the clarity and accountability associated with scientific authorship. (shrink)