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From Principles to Practice. An interdisciplinary framework to operationalise AI ethics.
2 references·9 citing·39 second hop
From Principles to Practice. An interdisciplinary framework to operationalise AI ethics. (2020)From Principles to Practice. An interdisc…The Black Box Society: The Secret Algorithms That Control Money and Information (2016)The Black Box Society: The Se…Governance of algorithms: options and limitations (2015)Governance of algorithms: opt…Ethical governance of artificial intelligence for defence: normative tradeoffs for principle to practice guidance (2024)Ethical governance of artific…Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study (2023)Certification Labels for Trus…The Different Faces of AI Ethics Across the World: A Principle-to-Practice Gap Analysis (2022)The Different Faces of AI Eth…Does Information About AI Regulation Change Manager Evaluation of Ethical Concerns and Intent to Adopt AI? (2022)Does Information About AI Reg…AI ethics and its pitfalls: not living up to its own standards? (2022)AI ethics and its pitfalls: n…The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations (2021)The Theory, Practice, and Eth…Ethical Chatbot Design for Reducing Negative Effects of Biased Data and Unethical Conversations (2021)Ethical Chatbot Design for Re…“Don’t let me be misunderstood” (2021)“Don’t let me be misunderstoo…Enhanced well-being assessment as basis for the practical implementation of ethical and rights-based normative principles for AI (2020)Enhanced well-being assessmen…Code and Other Laws of Cyberspace (1999)The Filter Bubble: What the Internet Is Hiding from You (2011)The Black Box Society (2015)Caring is not enough: the importance of Internet skills for online privacy protection (2016)Automatisierung, Algorithmen, Accountability (2018)Artificial intelligence, firms and consumer behavior: A survey (2021)Subjective well-being: Three decades of progress. (1999)Nudge: improving decisions about health, wealth, and happiness (2008)The global landscape of AI ethics guidelines (2019)Governing the Commons: The Evolution of Institutions for Collective Action (1992)Communities of practice learning, meaning, and identity (1999)Toward a Theory of Social Practices (2002)Generalization and Personalization of Mobile Sensing-Based Mood Inference Models (2022)Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism (2023)Toward a New Conception of the Environment-Competitiveness Relationship (1995)The Psychology of Survey Response (2000)Ethical AI governance: mapping a research ecosystem (2024)Judgment under Uncertainty: Heuristics and Biases (1974)Communication and Persuasion (1986)Who is an AI Ethicist? An empirical study of expertise, skills, and profiles to build a competency framework (2025)WHAT IS COMPUTER ETHICS?* (1985)How AI can be a force for good (2018)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)A Survey on Bias and Fairness in Machine Learning (2021)Promoting sustainability in finance with AI: A review of current practices and future potential (2024)A Review of How Different Views on Ethics Shape Perceptions of Morality and Responsibility within AI Transformation (2025)The necessity of AI audit standards boards (2025)Trust in Automation: Designing for Appropriate Reliance (2004)Identifying careless responses in survey data. (2012)Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment (2024)Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How (2024)How do we assess the trustworthiness of AI? Introducing the trustworthiness assessment model (TrAM) (2025)The Stakeholder Theory of the Corporation: Concepts, Evidence, and Implications (1995)A typology of reviews: an analysis of 14 review types and associated methodologies (2009)From AI Ethics Principles to Practices: A Teleological Methodology to Apply AI Ethics Principles in The Defence Domain (2024)The Ethics of Artificial Intelligence in Defence (2024)The social power of algorithms (2016)Thinking critically about and researching algorithms (2016)Weaponized Interdependence: How Global Economic Networks Shape State Coercion (2019)
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References

  • 2016The Black Box Society: The Secret Algorithms That Control Money and Information1,319 cited
  • 2015Governance of algorithms: options and limitations133 cited

Cited by

  • 2023Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study49 cited
  • 2024Ethical governance of artificial intelligence for defence: normative tradeoffs for principle to practice guidance48 cited
  • 2022The Different Faces of AI Ethics Across the World: A Principle-to-Practice Gap Analysis44 cited
  • 2022Does Information About AI Regulation Change Manager Evaluation of Ethical Concerns and Intent to Adopt AI?27 cited
  • 2021The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations26 cited
  • 2022AI ethics and its pitfalls: not living up to its own standards?22 cited
  • 2021Ethical Chatbot Design for Reducing Negative Effects of Biased Data and Unethical Conversations21 cited
  • 2020Enhanced well-being assessment as basis for the practical implementation of ethical and rights-based normative principles for AI17 cited
  • 2021“Don’t let me be misunderstood”16 cited

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