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Companies Committed to Responsible AI: From Principles towards Implementation and Regulation?
7 references·16 citing·43 second hop
Companies Committed to Responsible AI: From Principles towards Implementation and Regulation? 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(2022)Algorithmic decision-making e…AI Ethics, Ethics Washing, and the Need to Politicize Data Ethics (2022)AI Ethics, Ethics Washing, an…Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015)Data Feminism (2020)A Survey on Bias and Fairness in Machine Learning (2021)On the Opportunities and Risks of Foundation Models (2021)The Drivers of Greenwashing (2011)Artificial Intelligence and the 'Good Society': The US, EU, and UK Approach (2016)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Algorithmic bias in data-driven innovation in the age of AI (2021)The ethics of algorithms: key problems and solutions (2021)The Ethics of Artificial Intelligence (2023)Transaction-Cost Economics: The Governance of Contractual Relations (1979)Responsive regulation: transcending the deregulation debate (1992)Code and Other Laws of Cyberspace (1999)A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values (2022)Governance of Responsible AI: From Ethical Guidelines to Cooperative Policies (2022)The benefits, risks and bounds of personalizing the alignment of large language models to individuals (2024)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Ethical Decision Making by Individuals in Organizations: An Issue-Contingent Model (1991)Artificial Intelligence, Values, and Alignment (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)A theory of justice original editionRethinking the Public Sphere: A Contribution to the Critique of Actually Existing Democracy (1990)Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse (2019)Lessons learned from AI ethics principles for future actions (2020)Putting AI ethics to work: are the tools fit for purpose? (2021)From Greenwashing to Machinewashing: A Model and Future Directions Derived from Reasoning by Analogy (2022)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethical considerations in emotion recognition technologies: a review of the literature (2023)Reframing data ethics in research methods education: a pathway to critical data literacy (2023)How to design an AI ethics board (2024)Predators and prey: a new ecology of competition. (1993)Towards a Theory of Ecosystems (2018)Ethical considerations and policy interventions concerning the impact of generative AI tools in the economy and in society (2024)Ethics, transparency, and explainability in generative ai decision-making systems: a comprehensive bibliometric study (2024)Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success (2025)Regulation in the Age of Governance: The Rise of the Post-Regulatory State (2004)Law and Governance in Postnational Europe (2005)Global democracy: normative and empirical perspectives (2011)Digital ethicswashing: a systematic review and a process-perception-outcome framework (2024)Reconstructing AI Ethics Principles: Rawlsian Ethics of Artificial Intelligence (2024)
this work references cited by second hop

References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2019Principles alone cannot guarantee ethical AI1,869 cited
  • 2019Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical522 cited
  • 1996Constitutionalising Self‐Regulation383 cited
  • 2020From ethics washing to ethics bashing261 cited
  • 2019Regulatory alternatives for AI104 cited

Cited by

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  • 2023Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems104 cited
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  • 2024Revisiting the role of HR in the age of AI: bringing humans and machines closer together in the workplace86 cited
  • 2024Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems76 cited
  • 2024TOWARDS A CONCEPTUAL FRAMEWORK FOR ETHICAL AI DEVELOPMENT IN IT SYSTEMS61 cited
  • 2022Governing AI through ethical standards: learning from the experiences of other private governance initiatives58 cited

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2022
Algorithmic decision-making employing profiling: will trade secrecy protection render the right to explanation toothless?
54 cited
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  • 2024Two paths of balancing technology and ethics: A comparative study on AI governance in China and Germany31 cited
  • 2024Framing contestation and public influence on policymakers: evidence from US artificial intelligence policy discourse30 cited
  • 2022Enhancing Artificial Intelligence Control Mechanisms: Current Practices, Real Life Applications and Future Views29 cited
  • 2023On the Development of AI Governance Frameworks29 cited