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Ethical considerations in AI use for SMEs and supply chains: Current challenges and future directions
16 references·0 citing·45 second hop
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations4,732 cited
  • 2015The second machine age: work, progress, and prosperity in a time of brilliant technologies4,380 cited
  • 2017The EU General Data Protection Regulation (GDPR)2,592 cited
  • 2018The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics2,054 cited
  • 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
  • 2020A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.01,824 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2019A Unified Framework of Five Principles for AI in Society1,612 cited
  • 2018Artificial Intelligence, Automation and Work956 cited
  • 2018Governing artificial intelligence: ethical, legal and technical opportunities and challenges743 cited
  • 2022An Overview of Artificial Intelligence Ethics495 cited
  • 2012Big Data for All: Privacy and User Control in the Age of Analytics484 cited
  • 2023The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work451 cited

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  • 2018AI and Big Data: A blueprint for a human rights, social and ethical impact assessment309 cited
  • 2018The Future of Work: Robots, AI, and Automation272 cited
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