This article reviews eight proposed strategies for solving the Symbol Grounding Problem (SGP), which was given its classic formulation in Harnad (1990). After a concise introduction, we provide an analysis of the requirement that must be satisfied by any hypothesis seeking to solve the SGP, the zero semantical commitment condition. We then use it to assess the eight strategies, which are organised into three main approaches: representationalism, semi-representationalism and non-representationalism. The conclusion is that all the strategies are semantically committed and (...) hence that none of them provides a valid solution to the SGP, which remains an open problem. (shrink)

Online service providers —such as AOL, Facebook, Google, Microsoft, and Twitter—significantly shape the informational environment and influence users’ experiences and interactions within it. There is a general agreement on the centrality of OSPs in information societies, but little consensus about what principles should shape their moral responsibilities and practices. In this article, we analyse the main contributions to the debate on the moral responsibilities of OSPs. By endorsing the method of the levels of abstract, we first analyse the moral responsibilities (...) of OSPs in the web. These concern the management of online information, which includes information filtering, Internet censorship, the circulation of harmful content, and the implementation and fostering of human rights. We then consider the moral responsibilities ascribed to OSPs on the web and focus on the existing legal regulation of access to users’ data. The overall analysis provides an overview of the current state of the debate and highlights two main results. First, topics related to OSPs’ public role—especially their gatekeeping function, their corporate social responsibilities, and their role in implementing and fostering human rights—have acquired increasing relevance in the specialised literature. Second, there is a lack of an ethical framework that can define OSPs’ responsibilities, and provide the fundamental sharable principles necessary to guide OSPs’ conduct within the multicultural and international context in which they operate. This article contributes to the ethical framework necessary to deal with and by endorsing a LoA enabling the definition of the responsibilities of OSPs with respect to the well-being of the infosphere and of the entities inhabiting it. (shrink)

Pain is often used as the paradigmatic example of a phenomenal kind with a phenomenal quality common and unique to its instantiations. Philosophers have intensely discussed the relation between the subjective feeling, which unites pains and distinguishes them from other experiences, and the phenomenal properties of sensory, affective, and evaluative character along which pains typically vary. At the center of this discussion is the question whether the phenomenal properties prove necessary and/or sufficient for pain. In the empirical literature, sensory, affective, (...) and evaluative properties have played a decisive role in the investigation of psychophysical correspondence and clinical diagnostics. This paper addresses the outlined philosophical and empirical issues from a new perspective by constructing amultidimensional phenomenal spacefor pain. First, the paper will construe the phenomenal properties of pains in terms of a property space whosestructurereflects phenomenal similarities and dissimilarities by means of spatial distance. Second, philosophical debates on necessary and sufficient properties are reconsidered in terms of whether there is a phenomenal space formed of dimensions along which all and only pains vary. It is concluded that there is no space of this kind and, thus, that pain constitutes aprimitivephenomenal kind that cannot be analyzed entirely in terms of its varying phenomenal properties. Third, the paper addresses theutilityof continued reference to pain and its phenomenal properties in philosophical and scientific discourses. It is argued that numerous insights into the phenomenal structure of pain can be gained that have thus far received insufficient attention. (shrink)

This article argues that an ethical framework will help to harness the potential of AI while keeping humans in control.

According to pure imperativism, pain experiences are experiences of a specific phenomenal type that are entirely constituted by imperative content. As their primary argument, proponents of imperativism rely on the biological role that pain experiences fulfill, namely, the motivation of actions whose execution ensures the normal functioning of the body. In the paper, I investigate which specific types of action are of relevance for an imperative interpretation and how close their link to pain experiences actually is. I argue that, although (...) imperative theories constitute an apparently promising version of strong intentionalism, they cannot provide an imperative content that meets their own criteria of both sufficiency and necessity. I further argue that this issue cannot be solved by impure imperative theories either. (shrink)

This article is the second step in our research into the Symbol Grounding Problem (SGP). In a previous work, we defined the main condition that must be satisfied by any strategy in order to provide a valid solution to the SGP, namely the zero semantic commitment condition (Z condition). We then showed that all the main strategies proposed so far fail to satisfy the Z condition, although they provide several important lessons to be followed by any new proposal. Here, we (...) develop a new solution of the SGP. It is called praxical in order to stress the key role played by the interactions between the agents and their environment. It is based on a new theory of meaning—Action-based Semantics (AbS)—and on a new kind of artificial agents, called two-machine artificial agents (AM²). Thanks to their architecture, AM2s implement AbS, and this allows them to ground their symbols semantically and to develop some fairly advanced semantic abilities, including the development of semantically grounded communication and the elaboration of representations, while still respecting the Z condition. (shrink)

In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can have severe consequences (...) affecting individuals as well as groups and whole societies. This paper makes three contributions to clarify the ethical importance of algorithmic mediation. It provides a prescriptive map to organise the debate. It reviews the current discussion of ethical aspects of algorithms. And it assesses the available literature in order to identify areas requiring further work to develop the ethics of algorithms. (shrink)

Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, and measures to which accountability in AI can refer. We address this lack of clarity by defining accountability in terms of answerability, identifying three conditions of possibility (authority recognition, interrogation, and limitation of power), and an architecture of seven features (context, range, agent, forum, standards, process, (...) and implications). We analyse this architecture through four accountability goals (compliance, report, oversight, and enforcement). We argue that these goals are often complementary and that policy-makers emphasise or prioritise some over others depending on the proactive or reactive use of accountability and the missions of AI governance. (shrink)

Applications of artificial intelligence (AI) for cybersecurity tasks are attracting greater attention from the private and the public sectors. Estimates indicate that the market for AI in cybersecurity will grow from US$1 billion in 2016 to a US$34.8 billion net worth by 2025. The latest national cybersecurity and defence strategies of several governments explicitly mention AI capabilities. At the same time, initiatives to define new standards and certification procedures to elicit users’ trust in AI are emerging on a global scale. (...) However, trust in AI (both machine learning and neural networks) to deliver cybersecurity tasks is a double edged sword: it can improve substantially cybersecurity practices, but can also facilitate new forms of attacks to the AI applications themselves, which may pose severe security threats. We argue that trust in AI for cybersecurity is unwarranted and that, to reduce security risks, some form of control to ensure the deployment of ‘reliable AI’ for cybersecurity is necessary. To this end, we offer three recommendations focusing on the design, development and deployment of AI for cybersecurity. (shrink)

This paper argues that there is an urgent need for an international doctrine for cyberspace skirmishes before they escalate into conventional warfare.

Bodily sensations, such as pain, hunger, itches, or sexual feelings, are commonly characterized in terms of their phenomenal character. In order to account for this phenomenal character, many philosophers adopt strong representationalism. According to this view, bodily sensations are essentially and entirely determined by an intentional content related to particular conditions of the body. For example, pain would be nothing more than the representation of actual or potential tissue damage. In order to motivate and justify their view, strong representationalists often (...) appeal to the reliable causal covariance between bodily sensations and certain kinds of bodily conditions or to the corresponding biological function that these bodily sensations are supposed to fulfill. In this paper, I argue on the basis of recent empirical research that arguments from reliable causal covariance and biological function cannot motivate the introduction of corresponding intentional content. In particular, I argue that bodily sensations are caused by a heterogeneous class of physiological and psychological factors and their biological functions are too diverse to be reduced to the representation of a particular bodily condition. Responses are available to strong representationalists, but they either require substantial alterations to their core assumptions or incur a significant empirical burden. (shrink)

This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that isgood fora human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to several key social (...) domains: healthcare, education, governance and social development, and media and entertainment. It also highlights three broader themes: positive computing, personalised human–computer interaction, and autonomy and self-determination. The review argues that three themes will be central to ongoing discussions and research by showing how they can be used to identify open questions related to the ethics of digital well-being. (shrink)

Technologies to rapidly alert people when they have been in contact with someone carrying the coronavirus SARS-CoV-2 are part of a strategy to bring the pandemic under control. Currently, at least 47 contact-tracing apps are available globally. They are already in use in Australia, South Korea and Singapore, for instance. And many other governments are testing or considering them. Here we set out 16 questions to assess whether — and to what extent — a contact-tracing app is ethically justifiable.

This article argues that personal medical data should be made available for scientific research, by enabling and encouraging individuals to donate their medical records once deceased, similar to the way in which they can already donate organs or bodies. This research is part of a project on posthumous medical data donation developed by the Digital Ethics Lab at the Oxford Internet Institute at the University of Oxford. Ten arguments are provided to support the need to foster posthumous medical data donation. (...) Two major risks are also identified—harm to others, and lack of control over the use of data—which could follow from unregulated donation of medical data. The argument that record-based medical research should proceed without the need to secure informed consent is rejected, and instead a voluntary and participatory approach to using personal medical data should be followed. The analysis concludes by stressing the need to develop an ethical code for data donation to minimise the risks, and offers five foundational principles for ethical medical data donation suggested as a draft code. (shrink)

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 (...) automation. In this article, we consider the feasibility and efficacy of ethics-based auditing as a governance mechanism that allows organisations to validate claims made about their ADMS. Building on previous work, we define EBA as a structured process whereby an entity’s present or past behaviour is assessed for consistency with relevant principles or norms. We then offer three contributions to the existing literature. First, we provide a theoretical explanation of how EBA can contribute to good governance by promoting procedural regularity and transparency. Second, we propose seven criteria for how to design and implement EBA procedures successfully. Third, we identify and discuss the conceptual, technical, social, economic, organisational, and institutional constraints associated with EBA. We conclude that EBA should be considered an integral component of multifaced approaches to managing the ethical risks posed by ADMS. (shrink)

This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing, and use), algorithms (including AI, artificial agents, machine learning, and robots), and corresponding practices (including responsible innovation, programming, hacking, and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data Ethics builds on the foundation provided by Computer and Information (...) Ethics but, at the same time, it refines the approach endorsed so far in this research field, by shifting the Level of Abstraction of ethical enquiries, from being information-centric to being data-centric. This shift brings into focus the different moral dimensions of all kinds of data, even the data that never translate directly into information but can be used to support actions or generate behaviours, for example. It highlights the need for ethical analyses to concentrate on the content and nature of computational operations — the interactions among hardware, software, and data — rather than on the variety of digital technologies that enables them. And it emphasises the complexity of the ethical challenges posed by Data Science. Because of such complexity, Data Ethics should be developed from the start as a macroethics, that is, as an overall framework that avoids narrow, ad hoc approaches and addresses the ethical impact and implications of Data Science and its applications within a consistent, holistic, and inclusive framework. Only as a macroethics Data Ethics will provide the solutions that can maximise the value of Data Science for our societies, for all of us, and for our environments. (shrink)

What would be an adequate theory of social understanding? In the last decade, the philosophical debate has focused on Theory Theory, Simulation Theory and Interaction Theory as the three possible candidates. In the following, we look carefully at each of these and describe its main advantages and disadvantages. Based on this critical analysis, we formulate the need for a new account of social understanding. We propose the Person Model Theory as an independent new account which has greater explanatory power compared (...) to the existing theories. (shrink)

Barbara Montero considers whether or not we are able to remember what pain feels like. In order to properly answer this question, she introduces a new type of memory called 'qualitative memory', which seems common to exteroceptive sensations. Having concluded that there is arguably no qualitative memory for pain and other bodily sensations, Montero considers possible philosophical implications for areas including rational choice-making and empathy. In addressing the relationship between pain and memory, the paper raises an issue that has not (...) received much attention and indicates various interesting fields of research for which the apparent inability to remember pain might prove relevant. My comment primarily focuses on the core concepts of pain and qualitative memory which are foundational for the paper. I argue that a deeper engagement with some key aspects of these concepts is necessary. A more fine-grained discussion could have made Montero's argument more convincing. (shrink)

An Evaluation of the 2008 Loebner Contest.

In this paper, we draw on Alfred Schutz’s theoretical framework to better understand how oppression is enacted through discriminatory acts. By closely examining the role of typifications and relevances in our experience of others, and by supplementing this analysis with contemporary social scientific resources, we argue that a Schutzian perspective on oppression yields important phenomenological insights. We do this in three key steps. Firstly, we contextualise Equality and the Meaning Structure of the Social World within Schutz’s broader body of work, (...) elucidating his central conditions of discrimination. Secondly, we highlight the limitations of Schutz’s account, in how it fails to capture more peripheral, subtle, and implicit oppressive practices. Finally, we introduce two underexplored insights derived from Schutz’s framework: the role of relevances in understanding the motivational underpinnings of implicit biases, and the connection between self-typification and stereotype threat. With this multidimensional approach, we hope to enhance our understanding of oppression whilst bridging gaps in Schutz’s original conceptualization. (shrink)

Introduction: Sexual harassment involves an assortment of coercive behaviors, including physical force, intimidation, and various forms of compulsion, including verbal harassment and forced penetration [1]. Sexual abuse can happen to both men and women. In the United Kingdom(UK), the problem of child sexual abuse (CSA) has epidemic proportions and is a global public health issue [2]. 53,874 incidents were reported under the 2012 Protection of Children from Sexual Offences Act as of 2021 [3]. to their ignorance about puberty, sexuality, and (...) fundamental human biological changes, adolescents have a very difficult time addressing their SRH demands. These underlying causes contribute to high rates of teen pregnancy, STIs, sexual assault, poor negotiating skills, forced marriage, and high fertility rates [4]. -/- Methods: The study used a quantitative technique and a descriptive cross-sectional design. Students at Jahangir Nagar University and the American International University of Bangladesh were the intended target group. Jahangir Nagar University and American International University of Bangladesh served as the study locations. The six-month trial period ran from January 2022 through June 2022. For this investigation, primary sources of data were used. The study unit was the individual student. Non-probability (purposive) sampling techniques were used for the investigation. -/- Results: The majority of survey participants (N=81) 62.2% were aged between 19 and 21 years old, and there was a statistically significant difference in age between students at public and private universities. None of our study participants suffered from any kind of sexual abuse, though they mentioned hearing about it. Regarding the view of sexual abuse, public universities 23% of those polled claimed sexual abuse as a justification for sharing inappropriate photos. At private universities, the response rate for crude jokes is 32.5%. Only the least number of public (2%) and private university (10%) students took part in sexual abuse-related awareness or training programs. Regarding the rights to receive training for prevention and safeguarding from sexual abuse, only 28% of the public and 40% of the private university students replied in affirmative. -/- Conclusion: Sexual harassment is a sensitive issue, though due to various reasons, the rate of reporting and providing justice to the victims is delayed all over the world including Bangladesh. There social, religious, and policy lacking in this context. -/- . (shrink)

This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders—as opposed to just the receivers of a recommendation—in assessing the ethical impacts of a recommender system.

The theological misappropriation of Christianity as a civilizing force occurs when individuals convert to Christianity due to deception that ignores the faith-based aspect of Christianity. The history of Western education in India illustrates the hidden curriculum that Christian missionaries employed to disrupt the Indian educational system. This unnerving pedagogy points to the need for a postcolonial theoretical framework that relates the inescapable hybridity of religion and culture where Orientalism has the potential to occur. To press the ongoing urgency of this (...) discussion, I convey how the history of British India connects to my lived-reality as an American Hindu. Overall, I point to hybridity as a lived paradox of ambiguous conflict that embraces interfaith relations. I offer implications for Christian missionaries today to foster authentic interfaith connections without engaging in colonizing ideologies. (shrink)

Edward Said pointed to the problem of Orientalism that develops when the West creates a fictitious imagined version of Eastern religion and culture. Said’s notion of Orientalism focuses on the general distorted representation of Eastern religion and culture by the West. Homi Bhabha extends Said’s notion of Orientalism to reveal the tension of the inevitable hybridity between the East and the West. Here, cultural practices develop in the space of hybridity with the intention to promote a feeling of coherence as (...) opposed to with the objective to deform or distort religion and culture. Thus, the intention in a space of hybridity is often not to engage in Orientalism. Instead, the goal is to develop something new in a hybrid form. An opportunity arises in philosophy of education to adequately confront the problem of Orientalism that may develop in a space of hybridity. The author proposes a philosophical postcolonial framework that engages in a creative process that does not further Orientalism but rather develops something new with an ethic of hybrid responsibility for religion and culture. To illustrate this, the author uses Kuchipudi Indian Classical Hindu dance as an example. (shrink)

Homi Bhabha, a postcolonial scholar influenced by the work of Franz Fanon and Edward Said, indicates that identities stimulate a need to negotiate in spaces that result in the remaking of boundaries. There is a call to expose the limitations of the East and the West in an effort to acknowledge the space in-between that interconnects the past traditions and history, with the present and the future. This study applies Homi Bhabha’s theory of hybridity to determine whether the term liturgical (...) is appropriate to describe Kuchipudi Indian classical Hindu dance. Presented are the elements of Kuchipudi dance and liturgical dance, and then contemplative dance is discussed as an appropriate medium in the space of hybridity between Kuchipudi dance and liturgical dance. (shrink)

Contemplative pedagogy is necessary in the dance world because it can be a very dangerous place without it. Dance students who aim to sustain the so-called “right”body image too often develop a physical obsession that leads to dangers like bulimia and anorexia. Moreover, the stresses of performing on stage, combined with other pressures of daily life, may overwhelm dancers to the point where they might feel depressed or even suicidal. Thus, it is vital to develop a pedagogy that thinks about (...) not only the physical but also the spiritual well-being of dancers. The application of mindfulness as a pedagogical tool that focuses on physical and spiritual wellness is ideal in this regard. (shrink)

Contemplative pedagogy focuses on creating a sense of presence within educators to effectively educate the whole person through mindfulness in teaching. As I engage in a self-study, I develop initial components for the way I employ contemplative pedagogy. I aim to understand myself as an educator in order to teach effectively. One way to enable particular kinds of understandings is through self-study methodology. The foundational framework that develops through my ongoing self-study may interest those who are unfamiliar with the terrain (...) of contemplative pedagogy. For the purposes of this article, I place an emphasis on the philosophy and ethics classes that I taught at Middlesex County College in New Jersey, although I teach several classes on many campuses. My philosophical method requires me to engage in a self-study of my teaching practices. My project involves self-study as a philosophical research methodology that aims to inform educators and rethink the theories and praxis of teaching. As I work towards improvement- aimed pedagogy, I make myself vulnerable as I share my experiences with my Peer Scholar. My Peer Scholar, which some researchers call a “critical friend”, deliberates with me to challenge epistemological assumptions along with suspicions. The self-study dialogue with my Peer Scholar causes me to define initial components of how I engage in an improvement-aimed contemplative pedagogy. My hope is to support those who wish to implement contemplative pedagogy in higher education as I relate my working framework based on the themes that developed from the deliberation. The components in the article that convey how I engage in contemplative pedagogy are not meant to serve as a checklist or stern procedure for classroom activities. I share these components as aspects of my contemplative pedagogy, with suggestive scripts, not as a rigid structure but rather as a work in progress that is always under construction. (shrink)

This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that is good for a human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to several (...) key social domains: healthcare, education, governance and social development, and media and entertainment. It also highlights three broader themes: positive computing, personalised human–computer interaction, and autonomy and self-determination. The review argues that three themes will be central to ongoing discussions and research by showing how they can be used to identify open questions related to the ethics of digital well-being. (shrink)

Initiatives relying on artificial intelligence (AI) to deliver socially beneficial outcomes—AI for social good (AI4SG)—are on the rise. However, existing attempts to understand and foster AI4SG initiatives have so far been limited by the lack of normative analyses and a shortage of empirical evidence. In this Perspective, we address these limitations by providing a definition of AI4SG and by advocating the use of the United Nations’ Sustainable Development Goals (SDGs) as a benchmark for tracing the scope and spread of AI4SG. (...) We introduce a database of AI4SG projects gathered using this benchmark, and discuss several key insights, including the extent to which different SDGs are being addressed. This analysis makes possible the identification of pressing problems that, if left unaddressed, risk hampering the effectiveness of AI4SG initiatives. (shrink)

An evaluation of the 2008 Loebner contest.

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 this article we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change and it contribute to combating the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the (...) contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI’s greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combating climate change, while reducing its impact on the environment. (shrink)

This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm underlying RSs? Our main finding is that multistakeholder RSs (MRSs) are designed and theorised, methodologically, according to neoclassical welfare (...) economics. We consider and reply to some methodological objections to MRSs on this basis, concluding that the multistakeholder approach offers the resources to understand the normative social dimension of RSs. (shrink)

Background: Oral health of women is often neglected during pregnancy. We need to address this issue in a developing country's perspective,as oral healthcare is not an integral part of antenatal protocols. Objective: To evaluate the oral health status of pregnant women using the Oral Hygiene Index-Simplified (OHI-S) Score as well as explore oral hygiene practice by them and conduct a mini-assessment of their knowledge of oral health. Methods: This cross-sectional, descriptive study was conducted using data by using a semi-structured questionnaire (...) among 170 pregnant women attending an antenatal center in Dhaka city, Bangladesh, from March to August 2018. A pre-tested semi-structured questionnaire containing the OHI-S index was used for data collection. Dental mirror and probe were used for oral hygiene assessment. Results: The mean age of the participants was 24.22±5.07 years. 140(82.4%) were found to use toothbrushes as a tooth-cleaning aid and 146(85.9%) used toothpaste as a tooth cleaning material. Among them, 132(94.3%) were found to brush at least once a day. The predominant health problems identified by clinical examination among those pregnant women were gum bleeding, mild to severe periodontitis, halitosis (bad breath), and loose teeth. The majority did not know the safe period of dental treatment and the consequences of having poor oral health during pregnancy. The overall oral hygiene status of the maximum number of pregnant women was 'Fair' (50.6%) (OHI-S score 0-1.2), while 39.4% had 'Poor' oral hygiene status (OHI-S score 1.3-3.0) and only 10% had 'Good' oral hygiene status (OHI-S score 3.1-6.9). Conclusion: Pregnant women in Bangladesh suffer from various oral health issues during pregnancy; however, they exhibit that they do not address this issue due to a lack of awareness and other factors. Hence, it is crucial to plan and implement effective oral health programs for pregnant women all over the country. (shrink)

Background: Oral health of women is often neglected during pregnancy. We need to address this issue in a developing country’s perspective, as oral healthcare is not an integral part of antenatal protocols. -/- Objective: To evaluate the oral health status of pregnant women using the Oral Hygiene Index-Simplified (OHI-S) Score as well as explore oral hygiene practice by them and conduct a mini-assessment of their knowledge of oral health. -/- Methods: This cross-sectional, descriptive study was conducted using data by using (...) a semi-structured questionnaire among 170 pregnant women attending an antenatal center in Dhaka city, Bangladesh, from March to August 2018. A pre-tested semi-structured questionnaire containing OHI-S index was used for data collection. Dental mirror and probe were used for oral hygiene assessment. -/- Results: The mean age of the participants was 24.22±5.07 years. 140(82.4%) were found to use toothbrushes as a tooth-cleaning aid and 146(85.9%) used toothpaste as a tooth cleaning material. Among them, 132(94.3%) were found to brush at least once a day. The predominant health problems identified by clinical examination among those pregnant women were gum bleeding, mild to severe periodontitis, halitosis (bad breath), and loose teeth. The majority did not know the safe period of dental treatment and the consequences of having poor oral health during pregnancy. The overall oral hygiene status of the maximum pregnant women was ‘Fair’ (50.6%) (OHI-S score 0-1.2), while 39.4% had ‘Poor’ oral hygiene status (OHI-S score 1.3-3.0) and only 10% had ‘Good’ oral hygiene status (OHI-S score 3.1-6.9). -/- Conclusion: Pregnant women in Bangladesh suffer from various oral health issues during pregnancy; however, they exhibit that they do not address this issue due to a lack of awareness and other factors. Hence, it is crucial to plan and implement effective oral health programs for pregnant women all over the country. (shrink)

An interview with the American Philosophical Association regarding my work as an academic.

This article argues that personal medical data should be made available for scientific research, by enabling and encouraging individuals to donate their medical records once deceased, in a way similar to how they can already donate organs or bodies. This research is part of a project on posthumous medical data donation developed by the Digital Ethics Lab at the Oxford Internet Institute. Ten arguments are provided to support the need to foster posthumous medical data donation. Two major risks are also (...) identified—harm to others, and lack of control over the use of data—which could follow from unregulated donation of medical data. The argument that record-based medical research should proceed without the need to ask for informed consent is rejected, and it instead a voluntary and participatory approach to using personal medical data should be followed. The analysis concludes by stressing the need to develop an ethical code for data donation to minimise the risks providing five foundational principles for ethical medical data donation; and suggesting a draft for such a code. (shrink)

International regulation of autonomous weapon systems (AWS) is increasingly conceived as an exercise in risk management. This requires a shared approach for assessing the risks of AWS. This paper presents a structured approach to risk assessment and regulation for AWS, adapting a qualitative framework inspired by the Intergovernmental Panel on Climate Change (IPCC). It examines the interactions among key risk factors—determinants, drivers, and types—to evaluate the risk magnitude of AWS and establish risk tolerance thresholds through a risk matrix informed by (...) background knowledge of event likelihood and severity. Further, it proposes a methodology to assess community risk appetite, emphasizing that such assessments and resulting tolerance levels should be determined through deliberation in a multistakeholder forum. The paper highlights the complexities of applying risk-based regulations to AWS internationally, particularly the challenge of defining a global community for risk assessment and regulatory legitimization. (shrink)

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...) concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms. (shrink)

The gig economy is a phenomenon that is rapidly expanding, redefining the nature of work and contributing to a significant change in how contemporary economies are organised. Its expansion is not unproblematic. This article provides a clear and systematic analysis of the main ethical challenges caused by the gig economy. Following a brief overview of the gig economy, its scope and scale, we map the key ethical problems that it gives rise to, as they are discussed in the relevant literature. (...) We map them onto three categories: the new organisation of work (what is done), the new nature of work (how it is done), and the new status of workers (who does it). We then evaluate a recent initiative from the EU that seeks to address the challenges of the gig economy. The 2019 report of the European High-Level Expert Group on the Impact of the Digital Transformation on EU Labour Markets is a positive step in the right direction. However, we argue that ethical concerns relating to algorithmic systems as mechanisms of control, and the discrimination, exclusion and disconnectedness faced by gig workers require further deliberation and policy response. A brief conclusion completes the analysis. The appendix presents the methodology underpinning our literature review. (shrink)

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a ‘good (...) AI society’; the role and responsibility of the government, the private sector, and the research community in pursuing such a development; and where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a ‘good AI society’. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach. (shrink)

The idea of artificial intelligence for social good is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are (...) essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good. (shrink)

In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence, entitled ‘New Generation Artificial Intelligence Development Plan’. This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus on (...) the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents. (shrink)

The EU proposal for the Artificial Intelligence Act (AIA) defines four risk categories: unacceptable, high, limited, and minimal. However, as these categories statically depend on broad fields of application of AI, the risk magnitude may be wrongly estimated, and the AIA may not be enforced effectively. This problem is particularly challenging when it comes to regulating general-purpose AI (GPAI), which has versatile and often unpredictable applications. Recent amendments to the compromise text, though introducing context-specific assessments, remain insufficient. To address this, (...) we propose applying the risk categories to specific AI scenarios, rather than solely to fields of application, using a risk assessment model that integrates the AIA with the risk approach arising from the Intergovernmental Panel on Climate Change (IPCC) and related literature. This model enables the estimation of the magnitude of AI risk by considering the interaction between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We use large language models (LLMs) as an example. (shrink)

The fact that Internet companies may record our personal data and track our online behavior for commercial or political purpose has emphasized aspects related to online privacy. This has also led to the development of search engines that promise no tracking and privacy. Search engines also have a major role in spreading low-quality health information such as that of anti-vaccine websites. This study investigates the relationship between search engines’ approach to privacy and the scientific quality of the information they return. (...) We analyzed the first 30 webpages returned searching “vaccines autism” in English, Spanish, Italian, and French. The results show that not only “alternative” search engines but also other commercial engines often return more anti-vaccine pages (10–53%) than Google (0%). Some localized versions of Google, however, returned more anti-vaccine webpages (up to 10%) than Google. Health information returned by search engines has an impact on public health and, specifically, in the acceptance of vaccines. The issue of information quality when seeking information for making health-related decisions also impact the ethical aspect represented by the right to an informed consent. Our study suggests that designing a search engine that is privacy savvy and avoids issues with filter bubbles that can result from user-tracking is necessary but insufficient; instead, mechanisms should be developed to test search engines from the perspective of information quality (particularly for health-related webpages) before they can be deemed trustworthy providers of public health information. (shrink)

Abstract: This cross sectional study was conducted with the purpose to find out the causes of stress among university students. This study was carried out in Jahangirnagar University, Savar, Dhaka, Bangladesh during the period of November 2017 to January 2018. Convenience sampling technique was adapted for the selection of respondents for data collection. A quantitative method was used in gathering and analyzing the data. For this purpose, structured questionnaires were distributed to the students of Jahangirnagar University. The results obtained show (...) the different factors that cause stress among the students of Jahangirnagar University. According to 86% of 200 respondents, future worry was the most effective factor causing stress. 70.5% respondents thought examination tension as a major cause of stress. According to 61% respondents, working with news people also was a source of stress. 61% respondents said that, lots of group work caused stress among them. Relationship conflict was admitted as a major source of stress by 59.5% respondents. 55.5% respondents felt stressed due to financial crisis and also for failure in combing job with study. Misunderstanding class lectures, bad living condition, lower academic grade were also major causes of stress among respondents. This study also identified the level of stress among the respondents. It revealed that, among 200 respondents, 61.5% were moderately stressed, 18.5% were stressed with low level and 20% respondents had high level of stress. (shrink)

The EU Artificial Intelligence Act (AIA) defines four risk categories for AI systems: unacceptable, high, limited, and minimal. However, it lacks a clear methodology for the assessment of these risks in concrete situations. Risks are broadly categorized based on the application areas of AI systems and ambiguous risk factors. This paper suggests a methodology for assessing AI risk magnitudes, focusing on the construction of real-world risk scenarios. To this scope, we propose to integrate the AIA with a framework developed by (...) the Intergovernmental Panel on Climate Change (IPCC) reports and related literature. This approach enables a nuanced analysis of AI risk by exploring the interplay between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We further refine the proposed methodology by applying a proportionality test to balance the competing values involved in AI risk assessment. Finally, we present three uses of this approach under the AIA: to implement the Regulation, to assess the significance of risks, and to develop internal risk management systems for AI deployers. (shrink)