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AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection
16 references·16 citing·44 second hopsampled
AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection (2021)AI Ethics in the Public, Private, and NGO…Participation Is not a Design Fix for Machine Learning (2022)Participation Is not a Design…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…Roles for computing in social change (2020)Roles for computing in social…Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (2020)Principled Artificial Intelli…From ethics washing to ethics bashing (2020)From ethics washing to ethics…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Principles alone cannot guarantee ethical AI (2019)Principles alone cannot guara…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 …Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning (2019)Better, Nicer, Clearer, Faire…A Unified Framework of Five Principles for AI in Society (2019)A Unified Framework of Five P…The Fourth Industrial Revolution (2017)The Fourth Industrial Revolut…Artificial Intelligence and the 'Good Society': The US, EU, and UK Approach (2016)Artificial Intelligence and t…Research Priorities for Robust and Beneficial Artificial Intelligence (2015)Research Priorities for Robus…Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial (2012)Computing Inter-Rater Reliabi…A General Inductive Approach for Analyzing Qualitative Evaluation Data (2006)A General Inductive Approach …The emergence of artificial intelligence ethics auditing (2024)The emergence of artificial i…The bigger, the better? Optimal NGO size of human resources and governance quality of entrepreneurship in circular economy (2023)The bigger, the better? Optim…Power and politics in framing bias in Artificial Intelligence policy (2023)Power and politics in framing…Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy (2023)Looking through a policy wind…Subnational AI policy: shaping AI in a multi-level governance system (2022)Subnational AI policy: shapin…Making sense of the conceptual nonsense ‘trustworthy AI’ (2022)Making sense of the conceptua…Governing AI through ethical standards: learning from the experiences of other private governance initiatives (2022)Governing AI through ethical …Governance of Artificial Intelligence (2022)Governance of Artificial Inte…Employee Perceptions of the Effective Adoption of AI Principles (2022)Employee Perceptions of the E…Deep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligence (2022)Deep Learning Meets Deep Demo…At the Tensions of South and North: Critical Roles of Global South Stakeholders in AI Governance (2022)At the Tensions of South and …The impact of automation and artificial intelligence on worker well-being (2021)The impact of automation and …Hard choices in artificial intelligence (2021)Hard choices in artificial in…Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses (2021)Building Trustworthy AI Solut…Assessing public value failure in government adoption of artificial intelligence (2021)Assessing public value failur…AI led ethical digital transformation: framework, research and managerial implications (2021)AI led ethical digital transf…Naturalistic inquiry (1985)Qualitative inquiry and research design: choosing among five traditions. (1998)Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (2001)Networked privacy: How teenagers negotiate context in social media (2014)Qualitative research: deductive and inductive approaches to data analysis (2018)A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research (2023)A Coefficient of Agreement for Nominal Scales (1960)The Measurement of Observer Agreement for Categorical Data (1977)Content Analysis: An Introduction to its Methodology. (1984)TWO CRITERIA FOR GOOD MEASUREMENTS IN RESEARCH: VALIDITY AND RELIABILITY (2017)Reliability and Inter-rater Reliability in Qualitative Research (2019)Intercoder Reliability in Qualitative Research: Debates and Practical Guidelines (2020)Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)The ethics of algorithms: Mapping the debate (2016)What is data ethics? (2016)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Rulers of the world, unite! The challenges and opportunities of artificial intelligence (2019)Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021)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)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Computing Machinery and Intelligence (1950) (2004)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Trustworthy AI: From Principles to Practices (2022)Trustworthy Artificial Intelligence: A Review (2022)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)The structural transformation of the public sphere: an inquiry into a category of bourgeois society (1990)Cybernetics or Control and Communication in the Animal and the Machine (2019)Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021)Ethical framework for Artificial Intelligence and Digital technologies (2021)AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2022)Experimental evidence of massive-scale emotional contagion through social networks (2014)Emerging challenges in AI and the need for AI ethics education (2020)Ethical principles for artificial intelligence in education (2022)Bridging the Gap Between Ethics and Practice (2020)Artificial intelligence, systemic risks, and sustainability (2021)Responsible artificial intelligence governance: A review and research framework (2025)The digital revolution in the travel and tourism industry (2019)A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice (2023)INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT (2023)
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References

  • 2006A General Inductive Approach for Analyzing Qualitative Evaluation Data10,845 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2012Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial3,882 cited
  • 2017The Fourth Industrial Revolution3,027 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
  • 2019Principles alone cannot guarantee ethical AI1,869 cited
  • 2019A Unified Framework of Five Principles for AI in Society1,612 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI998 cited
  • 2019From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices879 cited
  • 2016Artificial Intelligence and the 'Good Society': The US, EU, and UK Approach732 cited
  • 2015Research Priorities for Robust and Beneficial Artificial Intelligence637 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines394 cited
  • 2019Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning385 cited
  • 2020Roles for computing in social change319 cited

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2022
Participation Is not a Design Fix for Machine Learning
267 cited
  • 2020From ethics washing to ethics bashing261 cited
  • Cited by

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    • 2022At the Tensions of South and North: Critical Roles of Global South Stakeholders in AI Governance87 cited
    • 2021Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses66 cited
    • 2021Hard choices in artificial intelligence65 cited
    • 2022Governing AI through ethical standards: learning from the experiences of other private governance initiatives58 cited
    • 2023Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy55 cited
    • 2021AI led ethical digital transformation: framework, research and managerial implications53 cited
    • 2023Power and politics in framing bias in Artificial Intelligence policy49 cited
    • 2024The emergence of artificial intelligence ethics auditing49 cited
    • 2022Making sense of the conceptual nonsense ‘trustworthy AI’45 cited
    • 2022Governance of Artificial Intelligence42 cited
    • 2022Subnational AI policy: shaping AI in a multi-level governance system40 cited