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REVIEWING THE ETHICAL IMPLICATIONS OF AI IN DECISION MAKING PROCESSES
12 references·12 citing·51 second hop
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References

  • 2019Principles alone cannot guarantee ethical AI1,869 cited
  • 2020Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects1,277 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
  • 2021Algorithmic bias: review, synthesis, and future research directions767 cited
  • 2021Governance of artificial intelligence560 cited
  • 2020Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities559 cited
  • 2022Towards a standard for identifying and managing bias in artificial intelligence541 cited
  • 2021Four Responsibility Gaps with Artificial Intelligence: Why they Matter and How to Address them483 cited
  • 2018Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery436 cited
  • 2021Artificial Intelligence Regulation: a framework for governance395 cited
  • 2020Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward229 cited
  • 2020Artificial intelligence for human flourishing – Beyond principles for machine learning203 cited

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  • 2024Theoretical frameworks in AI for credit risk assessment: Towards banking efficiency and accuracy76 cited

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2024
THE STRATEGIC VALUE OF BUSINESS ANALYSTS IN ENHANCING ORGANIZATIONAL EFFICIENCY AND OPERATIONS
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