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Making decisions: Bias in artificial intelligence and data‑driven diagnostic tools
2 references·4 citing·28 second hop
Making decisions: Bias in artificial intelligence and data‑driven diagnostic tools (2023)Making decisions: Bias in artificial inte…Addressing bias in big data and AI for health care: A call for open science (2021)Addressing bias in big data a…Latent bias and the implementation of artificial intelligence in medicine (2020)Latent bias and the implement…Artificial Intelligence in Scientific Writing: Balancing Innovation and Efficiency with Integrity: Perspectives and Position Statements of Global Andrology Forum Expert Group (2025)Artificial Intelligence in Sc…Artificial intelligence bias auditing – current approaches, challenges and lessons from practice (2025)Artificial intelligence bias …Gender Representation of Health Care Professionals in Large Language Model–Generated Stories (2024)Gender Representation of Heal…Balancing the scale: navigating ethical and practical challenges of artificial intelligence (AI) integration in legal practices (2024)Balancing the scale: navigati…Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Addressing Bias in Artificial Intelligence in Health Care (2019)Dissecting racial bias in an algorithm used to manage the health of populations (2019)On the Opportunities and Risks of Foundation Models (2021)Bias in AI-based models for medical applications: challenges and mitigation strategies (2023)Bias recognition and mitigation strategies in artificial intelligence healthcare applications (2025)The weirdest people in the world? (2010)WEIRD languages have misled us, too (2010)Bias in artificial intelligence algorithms and recommendations for mitigation (2023)From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing (2023)The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT (2023)Governing artificial intelligence: ethical, legal and technical opportunities and challenges (2018)The accuracy, fairness, and limits of predicting recidivism (2018)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Early detection of mental health disorders using machine learning models using behavioral and voice data analysis (2025)Navigating the Limitations of Algorithmic Management: An Integrative Framework of Sociotechnical Systems Theory (STS) and Strategic HRD (2025)Research on the factors influencing the adoption of artificial intelligence technology by university librarians (2025)THE BIG FIVE PERSONALITY TRAITS, GENERAL MENTAL ABILITY, AND CAREER SUCCESS ACROSS THE LIFE SPAN (1999)The Geographic Distribution of Big Five Personality Traits (2007)Handbook of Personality: Theory and Research (2008)The imperative of diversity and equity for the adoption of responsible AI in healthcare (2025)Algorithmic Bias in Education (2021)Artificial Intelligence Risk Management Framework (AI RMF 1.0) (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Artificial intelligence mediated emotional support in mental health and its ethical and governance implications in digital public health (2026)Bias in AI systems: integrating formal and socio-technical approaches (2026)Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis (2024)The EU Artificial Intelligence Act (2024): Implications for healthcare (2024)
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References

  • 2021Addressing bias in big data and AI for health care: A call for open science971 cited
  • 2020Latent bias and the implementation of artificial intelligence in medicine197 cited

Cited by

  • 2024Balancing the scale: navigating ethical and practical challenges of artificial intelligence (AI) integration in legal practices68 cited
  • 2025Artificial intelligence bias auditing – current approaches, challenges and lessons from practice32 cited
  • 2024Gender Representation of Health Care Professionals in Large Language Model–Generated Stories20 cited
  • 2025Artificial Intelligence in Scientific Writing: Balancing Innovation and Efficiency with Integrity: Perspectives and Position Statements of Global Andrology Forum Expert Group5 cited

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