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Accountability in AI: From principles to industry-specific accreditation
13 references·1 citing·53 second hop
Accountability in AI: From principles to industry-specific accreditation (2022)Accountability in AI: From principles to …Reviewable Automated Decision-Making (2021)Reviewable Automated Decision…Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems (2021)Outlining Traceability: A Pri…What to account for when accounting for algorithms (2020)What to account for when acco…Operationalizing AI ethics principles (2020)Operationalizing AI ethics pr…A Survey on Ethical Principles of AI and Implementations (2020)A Survey on Ethical Principle…The Role and Limits of Principles in AI Ethics (2019)The Role and Limits of Princi…Principles and business processes for responsible AI (2019)Principles and business proce…Millions of black people affected by racial bias in health-care algorithms (2019)Millions of black people affe…From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)From What to How: An Initial …From a 'Race to AI' to a 'Race to AI Regulation' - Regulatory Competition for Artificial Intelligence (2019)From a 'Race to AI' to a 'Rac…Artificial Intelligence: American Attitudes and Trends (2019)Artificial Intelligence: Amer…Algorithmic Fairness (2018)Algorithmic FairnessPOLLUTION REGULATION AS A BARRIER TO NEW FIRM ENTRY: INITIAL EVIDENCE AND IMPLICATIONS FOR FUTURE RESEARCH. 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References

  • 2019From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices879 cited
  • 2019Artificial Intelligence: American Attitudes and Trends463 cited
  • 2019The Role and Limits of Principles in AI Ethics399 cited
  • 2019From a 'Race to AI' to a 'Race to AI Regulation' - Regulatory Competition for Artificial Intelligence377 cited
  • 1995POLLUTION REGULATION AS A BARRIER TO NEW FIRM ENTRY: INITIAL EVIDENCE AND IMPLICATIONS FOR FUTURE RESEARCH.339 cited
  • 2020What to account for when accounting for algorithms320 cited
  • 2018Algorithmic Fairness278 cited
  • 2019Millions of black people affected by racial bias in health-care algorithms189 cited
  • 2021Reviewable Automated Decision-Making150 cited
  • 2019Principles and business processes for responsible AI117 cited
  • 2020A Survey on Ethical Principles of AI and Implementations99 cited
  • 2020Operationalizing AI ethics principles79 cited
  • 2021Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems77 cited

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  • 2025AI-Driven Financial Transparency and Corporate Governance: Enhancing Accounting Practices with Evidence from Jordan62 cited

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