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A Review of Librarians as Digital Literacy Drivers in an Age of Generative AI Surrounded by Ethical Conundrums
4 references·0 citing·22 second hop
A Review of Librarians as Digital Literacy Drivers in an Age of Generative AI Surrounded by Ethical Conundrums (2025)A Review of Librarians as Digital Literac…AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business (2024)AI hype as a cyber security r…Regulating Deep Fakes in the Artificial Intelligence Act (2023)Regulating Deep Fakes in the …Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Fairness and Bias in Artifici…Ethical artificial intelligence (AI): confronting bias and discrimination in the library and information industry (2023)Ethical artificial intelligen…To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis (2022)Ethics and discrimination in artificial intelligence-enabled recruitment practices (2023)AI anxiety and fear: A look at perspectives of information science students and professionals towards artificial intelligence (2024)Bias and Fairness Addressing Discrimination in AI Systems (2024)Unleashing the power of AI: a systematic review of cutting-edge techniques in AI-enhanced scientometrics, webometrics and bibliometrics (2024)Prior exposure increases perceived accuracy of fake news. (2018)The Emergence of Deepfake Technology: A Review (2019)Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News (2020)Deep fakes and the Artificial Intelligence Act—An important signal or a missed opportunity? (2024)A Teleological Interpretation of the Definition of DeepFakes in the EU Artificial Intelligence Act—A Purpose‐Based Approach to Potential Problems With the Word “Existing” (2025)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Survey on Bias and Fairness in Machine Learning (2021)Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond (2024)The Butterfly Effect in artificial intelligence systems: Implications for AI bias and fairness (2024)Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling (2024)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Artificial Intelligence in Human Resources Management: Challenges and a Path Forward (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Unlocking Business Value: Integrating AI-Driven Decision-Making in Financial Reporting Systems (2024)Using generative AI as decision-support tools: unraveling users’ trust and AI appreciation (2024)Leverage Generative AI for human resource management: integrated risk analysis approach (2025)
this work references cited by second hop

References

  • 2023Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies871 cited
  • 2024AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business99 cited
  • 2023Ethical artificial intelligence (AI): confronting bias and discrimination in the library and information industry61 cited
  • 2023Regulating Deep Fakes in the Artificial Intelligence Act29 cited

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