"To foster a multifaceted perspective on AI ethics, a pluriversal approach needs to be employed. This two-day workshop “AI Ethics from the Majority World: Reconstructing the Global Debate Through Decolonial Lenses” offers a forum to discuss alternatives to the status quo of AI ethics. Hosted by
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the University of Bonn’s Institute for Sciences and Ethics, the workshop aims to advance a reconstruction of the proliferated perspectives of AI ethics, dominantly shaped by ethical standards from historically hegemonic groups in the Minority World, by examining the plural decolonial schools of thought that challenge the positions that have shaped AI development worldwide." (Introduction)
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"As global stakeholders from governments, international organizations, the private sector, academia, and civil society, we convene in Hamburg to shape a human-centric, human-rights-based, inclusive, open, sustainable, and responsible AI future. We commit to advancing AI for the SDGs, aligning with o
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ngoing international efforts. A responsible AI future must be built on equal and meaningful participation, with actions to ensure that all stakeholders, especially those from emerging markets, developing economies, and vulnerable groups, have fair and equitable access to, as well as ownership of, computing, data, investment, and resources for capacity and talent development. AI’s benefits must not remain concentrated among a privileged few. We are committed to bridging digital divides and empowering all nations and communities to co-create and leverage AI solutions and evaluations that serve people and the planet. To achieve this, we call for leveraging AI responsibly, inclusively, and sustainably, aligned with the five pillars of the 2030 Agenda for Sustainable Development: people, planet, prosperity, peace, and partnerships." (A Joint Vision)
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"[...] Let me, therefore, reiterate today the Church’s solidarity with journalists who are imprisoned for seeking to report the truth, and with these words I also ask for the release of these imprisoned journalists. The Church recognises in these witnesses – I am thinking of those who report on
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war even at the cost of their lives – the courage of those who defend dignity, justice and the right of people to be informed, because only informed individuals can make free choices. The suffering of these imprisoned journalists challenges the conscience of nations and the international community, calling on all of us to safeguard the precious gift of free speech and of the press [...] Today, one of the most important challenges is to promote communication that can bring us out of the “Tower of Babel” in which we sometimes find ourselves, out of the confusion of loveless languages that are often ideological or partisan. Therefore, your service, with the words you use and the style you adopt, is crucial. As you know, communication is not only the transmission of information, but it is also the creation of a culture, of human and digital environments that become spaces for dialogue and discussion. In looking at how technology is developing, this mission becomes ever more necessary. I am thinking in particular of artificial intelligence, with its immense potential, which nevertheless requires responsibility and discernment in order to ensure that it can be used for the good of all, so that it can benefit all of humanity. This responsibility concerns everyone in proportion to his or her age and role in society." (https://www.vatican.va/content/leo-xiv)
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"The Oxford Handbook of Digital Ethics is a lively and authoritative guide to ethical issues related to digital technologies, with a special emphasis on AI. Philosophers with a wide range of expertise cover thirty-seven topics: from the right to have access to internet, to trolling and online shamin
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g, speech on social media, fake news, sex robots and dating online, persuasive technology, value alignment, algorithmic bias, predictive policing, price discrimination online, medical AI, privacy and surveillance, automating democracy, the future of work, and AI and existential risk, among others. Each chapter gives a rigorous map of the ethical terrain, engaging critically with the most notable work in the area, and pointing directions for future research." (Publisher description)
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"This 'Digital Ethics' handbook emphasises ethics in the digital era, targeting educators in higher education. It comprises three main chapters: “Digital Ethics” covers technology-society dynamics, a range of ethical approaches and tools, and contemporary issues such as data ethics, AI ethics, a
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nd corporate digital responsibility ; “Teaching Digital Ethics” focuses on a range of teaching methods to foster ethical literacy, encouraging reflection on personal and societal values ; “Ethical Decision Making” explores professional ethics, offering a structured decision-making template and comparing human and AI decision-making. In conclusion, the text recognises the dynamic nature of digital ethics." (Publisher description)
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"Starting from the recognition of the limits of today’s common essentialist and axiological understandings of data and ethics, in this article we make the case for an ecosystemic understanding of data ethics (for the city) that accounts for the inherent value-laden entanglements and unintended (bo
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th positive and negative) consequences of the development, implementation, and use of data-driven technologies in real-life contexts. To operationalize our view, we conceived and taught a master course titled ‘Ethics for the data-driven city’ delivered within the Department of Urbanism at the Delft University of Technology. By endorsing a definition of data as a sociotechnical process, of ethics as a collective practice, and of the city as a complex system, the course enacts a transdisciplinary approach and problem-opening method that compel students to recognize and tackle the unavoidable multifacetedness of all ethical stances, as well as the intrinsic open-endedness of all tech solutions, thus seeking a fair balance for the whole data-driven urban environment. The article discusses the results of the teaching experience, which took the form of a research-and-design workshop, alongside the students’ feedback and further pedagogical developments." (Abstract)
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"The emerging ecosystem of artificial intelligence (AI) ethics and governance auditing has grown rapidly in recent years in anticipation of impending regulatory efforts that encourage both internal and external auditing. Yet, there is limited understanding of this evolving landscape. We conduct an i
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nterview-based study of 34 individuals in the AI ethics auditing ecosystem across seven countries to examine the motivations, key auditing activities, and challenges associated with AI ethics auditing in the private sector. We find that AI ethics audits follow financial auditing stages, but tend to lack robust stakeholder involvement, measurement of success, and external reporting. Audits are hyper-focused on technically oriented AI ethics principles of bias, privacy, and explainability, to the exclusion of other principles and socio-technical approaches, reflecting a regulatory emphasis on technical risk management. Auditors face challenges, including competing demands across interdisciplinary functions, firm resource and staffing constraints, lack of technical and data infrastructure to enable auditing, and significant ambiguity in interpreting regulations and standards given limited (or absent) best practices and tractable regulatory guidance. Despite these roadblocks, AI ethics and governance auditors are playing a critical role in the early ecosystem: building auditing frameworks, interpreting regulations, curating practices, and sharing learnings with auditees, regulators, and other stakeholders." (Abstract)
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"As artificial intelligence (AI) becomes more seamlessly integrated into our social life, the unfair outcomes and ethical issues associated with AI and its subtechnologies have been widely discussed in scholarly work across disciplines in recent years. This study provides an overview of the conceptu
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alization, empirical scholarship, and ethical concerns related to algorithmic bias across diverse disciplines. In doing so, the study relies on the framework of AI-mediated communication and human-AI communication, as well as topic modeling and semantic network analysis to examine the conceptualization and major thematic areas of AI bias literature. The study reveals the complexity of the concept of algorithmic bias, which extends beyond the algorithm itself. Empirical scholarship on AI and algorithmic bias revolves around conceptualizations, human perceptions, algorithm optimization, practical applications, and ethics and policy implications. Understanding and addressing the ethical challenges require a multilevel examination from the perspectives of different stakeholders. Theoretical and practical implications are further discussed in the context of AI and algorithmic justice." (Abstract)
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"The coming of artificial intelligence (AI), dramatically signaled by the release of ChatGPT 3.5 in November 2022, sparked varied reactions and questions in various sectors and industries, including the field of education. Prior to this, AI technology has been gaining ground with its various applica
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tions, yet it still managed to take many by surprise. After the initial panic and apprehension about the use of these increasingly powerful technologies, discussions have begun as to how to effectively manage the threats and maximize the affordances brought by these rapidly emerging developments. The growing discourse and literature on this subject confirm the relevance and urgency of this issue today. Gathering the concerns and insights from these ongoing conversations, this paper aims to explore the challenges and opportunities brought by AI to education in general and to religious education in particular, with the aim of naming potential risks and identifying possible areas that can be harnessed by religious educators today." (Abstract)
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"This engaging Handbook critically examines the moral opportunities and challenges surrounding artificial intelligence. It provides a comprehensive overview of the most pressing problems concerning this technology by drawing on a wide range of analytical methods, traditions and approaches. Advocatin
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g for a diversification of the study of ethics and AI, this Handbook covers the foundations of the field before delving into the challenges of responsibility, justice and authority in an AI-centred landscape. Chapter authors champion typically underrepresented or marginal traditions, including continental philosophy, indigenous cosmologies, queer studies, post-colonial theories, African philosophies, disability studies, and feminist ethics. Balancing legal and moral philosophies, the Handbook surveys the transformative present of AI, while also reckoning with the ethics of an increasingly inscrutable future." (Publisher description)
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"The main recommendations we propose are:
1. Before proceeding with any development, analyze the need and social value of it. Consider the potential benefits and drawbacks of implementing the project.
2. Define the problem to be solved in non-technical terms, based on the joint reflection of the par
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ties interested in developing an AI application. Consider the possible secondary uses of the application of the project and its possible harmful effects.
3. Analyze the data sources with which the model may be trained, taking into consideration the protection of personal data and intellectual property. Pay close attention to potential biases to ensure that all groups are adequately and non-discriminatorily represented, with a special focus on minorities.
4. When training and evaluating predictive models, incorporate a methodology for checking well-known limitations of models that lead to pernicious results: underrepresented classes, majority classes, a tendency to overfit, etc. Incorporate also more general error analysis to detect previously unknown limitations.
5. Carry out deployment in phases, accompanied by the corresponding monitoring mechanisms for early detection of pernicious effects of the implementation of the system in actual contexts, incorporating different perspectives into the analysis of the behavior of the system.
Equity analysis must be transversal, i.e., a reflective resource present throughout the entire system development and construction process, rather than being applied only when evaluating the discriminatory impacts of a system after it has been deployed." (Executive Summary)
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