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Actionable Approaches to Promote Ethical AI in Libraries
13 references·1 citing·48 second hop
Actionable Approaches to Promote Ethical AI in Libraries (2021)Actionable Approaches to Promote Ethical …Towards Algorithm Auditing: A Survey on Managing Legal, Ethical and Technological Risks of AI, ML and Associated Algorithms (2021)Towards Algorithm Auditing: A…AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries (2021)AI Certification: Advancing E…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…Ethical Foresight Analysis: What it is and Why it is Needed? (2020)Ethical Foresight Analysis: W…Closing the AI accountability gap (2020)Closing the AI accountability…Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Bias in data‐driven artificia…Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications (2020)Artificial intelligence ethic…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour (2019)Governance by Glass-Box: Impl…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 …Data science ethical considerations: a systematic literature review and proposed project framework (2019)Data science ethical consider…“What could go wrong?”: An evaluation of ethical foresight analysis as a tool to identify problems of AI in libraries (2024)“What could go wrong?”: An ev…Three Approaches to Qualitative Content Analysis (2005)The qualitative content analysis process (2008)CRITICAL QUESTIONS FOR BIG DATA (2012)The Moral Consideration of Artificial Entities: A Literature Review (2021)Reframing data ethics in research methods education: a pathway to critical data literacy (2023)Towards responsible artificial intelligence in education: a systematic review on identifying and mitigating ethical risks (2025)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. 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(2021)When technology meets people: the interplay of artificial intelligence and human resource management (2021)Distinction: A Social Critique of the Judgement of Taste. (1985)The future of employment: How susceptible are jobs to computerisation? (2016)Distinction: A Social Critique of the Judgement of Taste* (2018)Responsible AI—Two Frameworks for Ethical Design Practice (2020)Artificial Intelligence for a Better Future (2021)Artificial Intelligence Regulation: a framework for governance (2021)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges (2023)Six Human-Centered Artificial Intelligence Grand Challenges (2023)Ethics-based auditing of automated decision-making systems: intervention points and policy implications (2021)A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability (2022)Continuous Auditing of Artificial Intelligence: a Conceptualization and Assessment of Tools and Frameworks (2022)
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References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
  • 2020Closing the AI accountability gap1,445 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
  • 2019From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices879 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines394 cited
  • 2020Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications310 cited
  • 2021Towards Algorithm Auditing: A Survey on Managing Legal, Ethical and Technological Risks of AI, ML and Associated Algorithms98 cited
  • 2019Data science ethical considerations: a systematic literature review and proposed project framework93 cited
  • 2020Ethical Foresight Analysis: What it is and Why it is Needed?78 cited
  • 2021AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries74 cited
  • 2019Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour34 cited

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  • 2024“What could go wrong?”: An evaluation of ethical foresight analysis as a tool to identify problems of AI in libraries

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18 cited