Switch to: References

Add citations

You must login to add citations.
  1. Ethics as a service: a pragmatic operationalisation of AI ethics.Jessica Morley, Anat Elhalal, Francesca Garcia, Libby Kinsey, Jakob Mökander & Luciano Floridi - 2021 - Minds and Machines 31 (2):239–256.
    As the range of potential uses for Artificial Intelligence, in particular machine learning, has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between the theory of (...)
    Download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  • Singularity and Coordination Problems: Pandemic Lessons From 2020.Nicholas Kluge Corrêa & Nythamar De Oliveira - 2021 - Journal of Future Studies 26 (1): 61–74.
    One of the strands of the Transhumanist movement, Singulitarianism, studies the possibility that high-level artificial intelligence may be created in the future, debating ways to ensure that the interaction between human society and advanced artificial intelligence can occur safely and beneficially. But how can we guarantee this safe interaction? Are there any indications that a Singularity may be on the horizon? In trying to answer these questions, We'll make a small introduction to the area of security research in artificial intelligence. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • The Missing Ingredient in the Case for Regulating Big Tech.Bartlomiej Chomanski - 2021 - Minds and Machines 31 (2):257-275.
    Having been involved in a slew of recent scandals, many of the world’s largest technology companies embarked on devising numerous codes of ethics, intended to promote improved standards in the conduct of their business. These efforts have attracted largely critical interdisciplinary academic attention. The critics have identified the voluntary character of the industry ethics codes as among the main obstacles to their efficacy. This is because individual industry leaders and employees, flawed human beings that they are, cannot be relied on (...)
    Download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  • Actionable Principles for Artificial Intelligence Policy: Three Pathways.Charlotte Stix - 2021 - Science and Engineering Ethics 27 (1):1-17.
    In the development of governmental policy for artificial intelligence that is informed by ethics, one avenue currently pursued is that of drawing on “AI Ethics Principles”. However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framework for the development of ‘Actionable Principles for AI’. The approach acknowledges the relevance of AI Ethics Principles and homes in on methodological elements to increase their practical implementability in policy processes. As a case study, elements (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • A United Framework of Five Principles for AI in Society.Luciano Floridi & Josh Cowls - 2019 - Harvard Data Science Review 1 (1).
    Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of proposed principles threatens to overwhelm and confuse. How might this problem of ‘principle proliferation’ be solved? In this paper, we report the results of a fine-grained analysis of several of the highest-profile sets of ethical principles for AI. We assess whether these (...)
    Download  
     
    Export citation  
     
    Bookmark   19 citations  
  • Ethics-based auditing of automated decision-making systems: nature, scope, and limitations.Jakob Mökander, Jessica Morley, Mariarosaria Taddeo & Luciano Floridi - 2021 - Science and Engineering Ethics 27 (4):1–30.
    Important decisions that impact humans lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making systems can improve efficiency and enable new solutions. However, these benefits are coupled with ethical challenges. For example, ADMS may produce discriminatory outcomes, violate individual privacy, and undermine human self-determination. New governance mechanisms are thus needed that help organisations design and deploy ADMS in ways that are ethical, while enabling society to reap the full economic and social benefits of (...)
    Download  
    Translate
     
     
    Export citation  
     
    Bookmark   1 citation  
  • Organisational Responses to the Ethical Issues of Artificial Intelligence.Bernd Carsten Stahl, Josephina Antoniou, Mark Ryan, Kevin Macnish & Tilimbe Jiya - forthcoming - AI and Society:1-15.
    The ethics of artificial intelligence is a widely discussed topic. There are numerous initiatives that aim to develop the principles and guidance to ensure that the development, deployment and use of AI are ethically acceptable. What is generally unclear is how organisations that make use of AI understand and address these ethical issues in practice. While there is an abundance of conceptual work on AI ethics, empirical insights are rare and often anecdotal. This paper fills the gap in our current (...)
    Download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  • Good AI for the Present of Humanity Democratizing AI Governance.Nicholas Kluge Corrêa & Nythamar De Oliveira - 2021 - AI Ethics Journal 2 (2):1-16.
    What does Cyberpunk and AI Ethics have to do with each other? Cyberpunk is a sub-genre of science fiction that explores the post-human relationships between human experience and technology. One similarity between AI Ethics and Cyberpunk literature is that both seek a dialogue in which the reader may inquire about the future and the ethical and social problems that our technological advance may bring upon society. In recent years, an increasing number of ethical matters involving AI have been pointed and (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Ethics as a Service: A Pragmatic Operationalisation of AI Ethics.Jessica Morley, Anat Elhalal, Francesca Garcia, Libby Kinsey, Jakob Mökander & Luciano Floridi - manuscript
    As the range of potential uses for Artificial Intelligence (AI), in particular machine learning (ML), has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between the (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective.Erik Hermann - forthcoming - Journal of Business Ethics:1-19.
    Artificial intelligence is shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Problems with “Friendly AI”.Oliver Li - forthcoming - Ethics and Information Technology.
    On virtue ethical grounds, Barbro Fröding and Martin Peterson recently recommended that near-future AIs should be developed as ‘Friendly AI’. AI in social interaction with humans should be programmed such that they mimic aspects of human friendship. While it is a reasonable goal to implement AI systems interacting with humans as Friendly AI, I identify four issues that need to be addressed concerning Friendly AI with Fröding’s and Peterson’s understanding of Friendly AI as a starting point. In a first step, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Ethics in the Software Development Process: From Codes of Conduct to Ethical Deliberation.Jan Gogoll, Niina Zuber, Severin Kacianka, Timo Greger, Alexander Pretschner & Julian Nida-Rümelin - forthcoming - Philosophy and Technology:1-24.
    Software systems play an ever more important role in our lives and software engineers and their companies find themselves in a position where they are held responsible for ethical issues that may arise. In this paper, we try to disentangle ethical considerations that can be performed at the level of the software engineer from those that belong in the wider domain of business ethics. The handling of ethical problems that fall into the responsibility of the engineer has traditionally been addressed (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Artificial Intelligence Regulation: A Framework for Governance.Patricia Gomes Rêgo de Almeida, Carlos Denner dos Santos & Josivania Silva Farias - forthcoming - Ethics and Information Technology.
    Download  
     
    Export citation  
     
    Bookmark  
  • What does it mean to embed ethics in data science? An integrative approach based on the microethics and virtues.Louise Bezuidenhout & Emanuele Ratti - forthcoming - AI and Society:1-15.
    In the past few years, scholars have been questioning whether the current approach in data ethics based on the higher level case studies and general principles is effective. In particular, some have been complaining that such an approach to ethics is difficult to be applied and to be taught in the context of data science. In response to these concerns, there have been discussions about how ethics should be “embedded” in the practice of data science, in the sense of showing (...)
    Download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  • An Emerging AI Mainstream: Deepening Our Comparisons of AI Frameworks Through Rhetorical Analysis.Epifanio Torres & Will Penman - forthcoming - AI and Society.
    Comparing frameworks for AI development allows us to see trends and reflect on how we are conceptualizing, interacting with, and imagining futures for AI. Recent scholarship comparing a range of AI frameworks has often focused methodologically on consensus, which has led to problems in evaluating potentially ambiguous values. We contribute to this scholarship using a rhetorical perspective attuned to how frameworks shape people’s actions. This perspective allows us to develop the concept of an “AI mainstream” through an analysis of five (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Getting into the engine room: a blueprint to investigate the shadowy steps of AI ethics.Johan Rochel & Florian Evéquoz - forthcoming - AI and Society:1-14.
    Enacting an AI system typically requires three iterative phases where AI engineers are in command: selection and preparation of the data, selection and configuration of algorithmic tools, and fine-tuning of the different parameters on the basis of intermediate results. Our main hypothesis is that these phases involve practices with ethical questions. This paper maps these ethical questions and proposes a way to address them in light of a neo-republican understanding of freedom, defined as absence of domination. We thereby identify different (...)
    Download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  • Categorization and challenges of utilitarianisms in the context of artificial intelligence.Štěpán Cvik - forthcoming - AI and Society:1-7.
    The debates about ethics in the context of artificial intelligence have been recently focusing primarily on various types of utilitarianisms. This article suggests a categorization of the various presented utilitarianisms into static utilitarianisms and dynamic utilitarianisms. It explains the main features of both. Then, it presents the challenges the utilitarianisms in each group need to be able to deal with. Since it appears that those cannot be overcome in the context of each group alone, the article suggests a possibility of (...)
    Download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  • The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-Making Systems.Atoosa Kasirzadeh & Colin Klein - 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES '21).
    Computers are used to make decisions in an increasing number of domains. There is widespread agreement that some of these uses are ethically problematic. Far less clear is where ethical problems arise, and what might be done about them. This paper expands and defends the Ethical Gravity Thesis: ethical problems that arise at higher levels of analysis of an automated decision-making system are inherited by lower levels of analysis. Particular instantiations of systems can add new problems, but not ameliorate more (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Machine Morality, Moral Progress, and the Looming Environmental Disaster.Ben Kenward & Thomas Sinclair - forthcoming - Cognitive Computation and Systems.
    The creation of artificial moral systems requires us to make difficult choices about which of varying human value sets should be instantiated. The industry-standard approach is to seek and encode moral consensus. Here we argue, based on evidence from empirical psychology, that encoding current moral consensus risks reinforcing current norms, and thus inhibiting moral progress. However, so do efforts to encode progressive norms. Machine ethics is thus caught between a rock and a hard place. The problem is particularly acute when (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles Into Practices.Jessica Morley, Luciano Floridi, Libby Kinsey & Anat Elhalal - 2020 - Science and Engineering Ethics 26 (4):2141-2168.
    The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...)
    Download  
     
    Export citation  
     
    Bookmark   18 citations  
  • Transdisciplinary AI Observatory—Retrospective Analyses and Future-Oriented Contradistinctions.Nadisha-Marie Aliman, Leon Kester & Roman Yampolskiy - 2021 - Philosophies 6 (6):6-0.
    In the last years, artificial intelligence safety gained international recognition in the light of heterogeneous safety-critical and ethical issues that risk overshadowing the broad beneficial impacts of AI. In this context, the implementation of AI observatory endeavors represents one key research direction. This paper motivates the need for an inherently _transdisciplinary_ AI observatory approach integrating diverse retrospective and counterfactual views. We delineate aims and limitations while providing hands-on-advice utilizing _concrete practical examples_. Distinguishing between unintentionally and intentionally triggered AI risks with (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Foundations of an Ethical Framework for AI Entities: The Ethics of Systems.Andrej Dameski - 2020 - Dissertation, University of Luxembourg
    The field of AI ethics during the current and previous decade is receiving an increasing amount of attention from all involved stakeholders: the public, science, philosophy, religious organizations, enterprises, governments, and various organizations. However, this field currently lacks consensus on scope, ethico-philosophical foundations, or common methodology. This thesis aims to contribute towards filling this gap by providing an answer to the two main research questions: first, what theory can explain moral scenarios in which AI entities are participants?; and second, what (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • AI Ethics Should Not Remain Toothless! A Call to Bring Back the Teeth of Ethics.Rowena Rodrigues & Anaïs Rességuier - 2020 - Big Data and Society 7 (2).
    Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that ‘ethics’ in the current AI ethics field is largely ineffective, trapped in an ‘ethical principles’ approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. This significantly limits what ethics can (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • Automatisierte Ungleichheit: Ethik der Künstlichen Intelligenz in der biopolitischen Wende des Digitalen Kapitalismus.Rainer Mühlhoff - 2020 - Deutsche Zeitschrift für Philosophie 68 (6):867-890.
    This paper sets out the notion of a current “biopolitical turn of digital capitalism” resulting from the increasing deployment of AI and data analytics technologies in the public sector. With applications of AI-based automated decisions currently shifting from the domain of business to customer relations to government to citizen relations, a new form of governance arises that operates through “algorithmic social selection”. Moreover, the paper describes how the ethics of AI is at an impasse concerning these larger societal and socioeconomic (...)
    Download  
    Translate
     
     
    Export citation  
     
    Bookmark