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Ethics of AI: A Systematic Literature Review of Principles and Challenges
5 references·16 citing·42 second hop
Ethics of AI: A Systematic Literature Review of Principles and Challenges (2022)Ethics of AI: A Systematic Literature Rev…Ethics of Artificial Intelligence and Robotics (2020)Ethics of Artificial Intellig…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Does ACM’s code of ethics change ethical decision making in software development? (2018)Does ACM’s code of ethics cha…Preparing for the future of Artificial Intelligence (2016)Preparing for the future of A…Using thematic analysis in psychology (2006)Using thematic analysis in ps…Revisiting PR professionalism and ethics in the generative AI era through PR practitioners’ insights (2025)Revisiting PR professionalism…Biases in AI: acknowledging and addressing the inevitable ethical issues (2025)Biases in AI: acknowledging a…AI ethics education: A systematic literature review (2025)AI ethics education: A system…A systematic literature review of artificial intelligence (AI) in coaching: insights for future research and product development (2025)A systematic literature revie…What ethics can say on artificial intelligence: Insights from a systematic literature review (2024)What ethics can say on artifi…Trust, artificial intelligence and software practitioners: an interdisciplinary agenda (2024)Trust, artificial intelligenc…Macro Ethics Principles for Responsible AI Systems: Taxonomy and Directions (2024)Macro Ethics Principles for R…Exploring how AI adoption in the workplace affects employees: a bibliometric and systematic review (2024)Exploring how AI adoption in …Ethics in AI through the practitioner’s view: a grounded theory literature review (2024)Ethics in AI through the prac…Ethical AI governance: mapping a research ecosystem (2024)Ethical AI governance: mappin…Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems (2024)Applying the ethics of AI: a …Applying generative AI ethically in HRD practice (2024)Applying generative AI ethica…AI governance in India – law, policy and political economy (2024)AI governance in India – law,…Trustworthy artificial intelligence: A decision‐making taxonomy of potential challenges (2023)Trustworthy artificial intell…AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers (2023)AI Ethics: An Empirical Study…A phenomenological perspective on AI ethical failures: The case of facial recognition technology (2023)A phenomenological perspectiv…Qualitative evaluation and research methods (1990)Qualitative Data Analysis: An Expanded Sourcebook (1994)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Older Adults' Reasons for Using Technology while Aging in Place (2015)Thematic Analysis (2017)Reflecting on reflexive thematic analysis (2019)Ethical Decision Making in Organizations: A Person-Situation Interactionist Model (1986)The Organizational Bases of Ethical Work Climates (1988)Bad apples, bad cases, and bad barrels: Meta-analytic evidence about sources of unethical decisions at work. (2010)Dark Patterns and the Legal Requirements of Consent Banners: An Interaction Criticism Perspective (2021)Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence (2022)GPT-3 and InstructGPT: technological dystopianism, utopianism, and “Contextual” perspectives in AI ethics and industry (2022)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)Principles alone cannot guarantee ethical AI (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data. (2016)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Ethics in the Age of AI: An Analysis of AI Practitioners’ Awareness and Challenges (2023)Towards a Privacy and Security-Aware Framework for Ethical AI: Guiding the Development and Assessment of AI Systems (2024)Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement (2010)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The ``Who", ``What", and ``How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools (2025)Ethical concerns of generative AI and mitigation strategies: A systematic mapping study (2026)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The need to belong: Desire for interpersonal attachments as a fundamental human motivation. (1995)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)‘Getting better all the time’: using professional human coach competencies to evaluate the quality of AI coaching agent performance (2025)Human coaches and AI coaching agents: an exploratory quasi-experimental study of workplace client attitudes (2025)A randomised controlled comparison of the effectiveness of human and AI chatbot coaching with goal attainment, wellbeing and self-efficacy (2026)Thematic analysis. (2012)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)A Layered Model for AI Governance (2017)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Exploring artificial intelligence adoption in public organizations: a comparative case study (2022)A High-Level Overview of AI Ethics (2020)Artificial Intelligence for a Better Future (2021)AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry (2022)
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References

  • 2006Using thematic analysis in psychology193,725 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2016Preparing for the future of Artificial Intelligence425 cited
  • 2020Ethics of Artificial Intelligence and Robotics323 cited
  • 2018Does ACM’s code of ethics change ethical decision making in software development?244 cited

Cited by

  • 2023AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers100 cited
  • 2024Exploring how AI adoption in the workplace affects employees: a bibliometric and systematic review99 cited
  • 2025AI ethics education: A systematic literature review96 cited
  • 2024Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems76 cited
  • 2025A systematic literature review of artificial intelligence (AI) in coaching: insights for future research and product development49 cited
  • 2024What ethics can say on artificial intelligence: Insights from a systematic literature review40 cited
  • 2024Ethics in AI through the practitioner’s view: a grounded theory literature review37 cited
  • 2025Biases in AI: acknowledging and addressing the inevitable ethical issues36 cited
  • 2025Revisiting PR professionalism and ethics in the generative AI era through PR practitioners’ insights

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34 cited
  • 2024AI governance in India – law, policy and political economy30 cited
  • 2023A phenomenological perspective on AI ethical failures: The case of facial recognition technology28 cited
  • 2023Trustworthy artificial intelligence: A decision‐making taxonomy of potential challenges27 cited
  • 2024Ethical AI governance: mapping a research ecosystem25 cited
  • 2024Applying generative AI ethically in HRD practice23 cited
  • 2024Trust, artificial intelligence and software practitioners: an interdisciplinary agenda22 cited
  • 2024Macro Ethics Principles for Responsible AI Systems: Taxonomy and Directions20 cited