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The Right to Explanation, Explained
2 references·2 citing·17 second hop
The Right to Explanation, Explained (2018)The Right to Explanation, ExplainedSensitive-by-distance: quasi-health data in the algorithmic era (2017)Sensitive-by-distance: quasi-…Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)Seeing without knowing: Limit…Transparency for what purpose?: Designing outcomes‐focused transparency tactics for digital platforms (2023)Transparency for what purpose…AI Loyalty: A New Paradigm for Aligning Stakeholder Interests (2020)AI Loyalty: A New Paradigm fo…Experience and Education. (1938)Experience and Education (1986)The System of Professions: An Essay on the Division of Expert Labor. (1990)The Platform Society (2018)Algorithms at Work: The New Contested Terrain of Control (2019)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)The Biggest Lie on the Internet: Ignoring the Privacy Policies and Terms of Service Policies of Social Networking Services (2016)Life 3.0: Being Human in the Age of Artificial Intelligence (2017)Psychological targeting as an effective approach to digital mass persuasion (2017)Artificial Intelligence Project Success Factors: Moral Decision-Making with Algorithms (2021)Artificial Intelligence Project Success Factors—Beyond the Ethical Principles (2022)Co-creating Humanistic AI AgeTech to Support Dynamic Care Ecosystems: A Preliminary Guiding Model (2024)The Black Box Society (2015)The global landscape of AI ethics guidelines (2019)Big genetic data and its big data protection challenges (2018)In/acceptable marketing and consumers' privacy expectations: four tests from EU data protection law (2021)Principle-based recommendations for big data and machine learning in food safety: the P-SAFETY model (2021)
this work references cited by second hop

References

  • 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
  • 2017Sensitive-by-distance: quasi-health data in the algorithmic era47 cited

Cited by

  • 2020AI Loyalty: A New Paradigm for Aligning Stakeholder Interests24 cited
  • 2023Transparency for what purpose?: Designing outcomes‐focused transparency tactics for digital platforms12 cited

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