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New AI regulation in the EU seeks to reduce risk without assessing public benefit
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New AI regulation in the EU seeks to reduce risk without assessing public benefit (2024)New AI regulation in the EU seeks to redu…Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk (2023)Trustworthy artificial intell…Taking AI risks seriously: a new assessment model for the AI Act (2023)Taking AI risks seriously: a …Data solidarity: a blueprint for governing health futures (2022)Data solidarity: a blueprint …The problem of innovation in technoscientific capitalism: data rentiership and the policy implications of turning personal digital data into a private asset (2020)The problem of innovation in …AI-Related Risk: An Epistemological Approach (2024)AI-Related Risk: An Epistemol…Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy (1986)Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy (1993)Capital in the Twenty-First Century (2014)Big tech, knowledge predation and the implications for development (2020)The future of value in digitalised higher education: why data privacy should not be our biggest concern (2020)Big Tech: Four Emerging Forms of Digital Rentiership (2021)Indigenous Data Sovereignty: Toward an agenda (2016)Big Data Governance Needs More Collective Responsibility: The Role of Harm Mitigation in the Governance of Data Use in Medicine and Beyond (2019)Beyond Individual Rights: How Data Solidarity Gives People Meaningful Control over Data (2023)Constructing the data economy: tracing expectations of value creation in policy documents (2024)A scoping review and expert consensus on digital determinants of health (2025)The consequences of modernity (1990)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)Institutionalised distrust and human oversight of artificial intelligence: towards a democratic design of AI governance under the European Union AI Act (2023)Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges, and Future Direction (2024)Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences (2024)A Theory of Constitutional Rights (2002)How the EU Can Achieve Legally Trustworthy AI: A Response to the European Commission’s Proposal for an Artificial Intelligence Act (2021)Digital Sovereignty: A Descriptive Analysis and a Critical Evaluation of Existing Models (2024)Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity (2024)Generative AI in Marketing and Principles for Ethical Design and Deployment (2024)Inductive Risk and Values in Science (2000)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Artificial Intelligence Risk Management Framework (AI RMF 1.0) (2023)
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References

  • 2023Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk363 cited
  • 2020The problem of innovation in technoscientific capitalism: data rentiership and the policy implications of turning personal digital data into a private asset144 cited
  • 2023Taking AI risks seriously: a new assessment model for the AI Act138 cited
  • 2022Data solidarity: a blueprint for governing health futures85 cited

Cited by

  • 2024AI-Related Risk: An Epistemological Approach20 cited

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