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The Impact of Artificial Intelligence Bias on Human Resource Management Functions: Systematic Literature Review and Future Research Directions
16 references·0 citing·43 second hop
The Impact of Artificial Intelligence Bias on Human Resource Management Functions: Systematic Literature Review and Future Research Directions (2023)The Impact of Artificial Intelligence Bia…Unlocking the value of artificial intelligence in human resource management through AI capability framework (2022)Unlocking the value of artifi…How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan (2022)How Artificial Intelligence T…Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda (2022)Artificial intelligence – cha…An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes (2022)An artificial intelligence al…The Janus Face of Artificial Intelligence Feedback: Deployment Versus Disclosure Effects on Employee Performance (2021)The Janus Face of Artificial …A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective (2021)A systematic literature revie…Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities (2020)Paradoxes of artificial intel…Rulers of the world, unite! The challenges and opportunities of artificial intelligence (2019)Rulers of the world, unite! 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(1995)Regions, Globalization, Development (2003)Oslo Manual 2018 (2018)Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research (2002)Oslo Manual (2005)Declarations for sustainability in higher education: becoming better leaders, through addressing the university system (2011)The global landscape of AI ethics guidelines (2019)On the Opportunities and Risks of Foundation Models (2021)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Ethical principles for artificial intelligence in education (2022)
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References

  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations4,732 cited
  • 2017Guidance on Conducting a Systematic Literature Review3,449 cited
  • 1984Diffusion of innovations2,715 cited
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  • 2020Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities559 cited
  • 2021A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective548 cited
  • 2022How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan

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547 cited
  • 2021The Janus Face of Artificial Intelligence Feedback: Deployment Versus Disclosure Effects on Employee Performance530 cited
  • 2022An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes452 cited
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