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Ethical challenges in the algorithmic era: a systematic rapid review of risk insights and governance pathways for nursing predictive analytics and early warning systems
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Ethical challenges in the algorithmic era: a systematic rapid review of risk insights and governance pathways for nursing predictive analytics and early warning systems (2025)Ethical challenges in the algorithmic era…Advancing AI Data Ethics in Nursing: Future Directions for Nursing Practice, Research, and Education (2024)Advancing AI Data Ethics in N…Responsibility Gaps and Black Box Healthcare AI: Shared Responsibilization as a Solution (2023)Responsibility Gaps and Black…Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning (2023)Algorithmic fairness and bias…Toward the Agile and Comprehensive International Governance of AI and Robotics [point of view] (2019)Toward the Agile and Comprehe…Reviews: Rapid! Rapid! Rapid! …and systematic (2015)Reviews: Rapid! Rapid! Rapid!…Using thematic analysis in psychology (2006)Using thematic analysis in ps…Qualitative evaluation and research methods (1990)Qualitative Data Analysis: An Expanded Sourcebook (1994)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Older Adults' Reasons for Using Technology while Aging in Place (2015)Thematic Analysis (2017)Reflecting on reflexive thematic analysis (2019)Systematic Reviews: Synthesis of Best Evidence for Clinical Decisions (1997)Contradicted and Initially Stronger Effects in Highly Cited Clinical Research (2005)Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.1. The Cochrane Collaboration (2008)Quality of conduct and reporting in rapid reviews: an exploration of compliance with PRISMA and AMSTAR guidelines (2016)Gender, power, and violence: A systematic review of measures and their association with male perpetration of IPV (2018)Rapid reviews: the pros and cons of an accelerated review process (2021)The Growing Gap Between Emerging Technologies and the Law (2011)AI under great uncertainty: implications and decision strategies for public policy (2021)Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence (2021)Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector (2023)Fairness through awareness (2012)Mitigating Unwanted Biases with Adversarial Learning (2018)Can AI Help Reduce Disparities in General Medical and Mental Health Care? (2019)Bias Mitigation via Synthetic Data Generation: A Review (2024)Sociodemographic bias in clinical machine learning models: a scoping review of algorithmic bias instances and mechanisms (2024)A scoping review and evidence gap analysis of clinical AI fairness (2025)Two Faces of Responsibility (1996)The responsibility gap: Ascribing responsibility for the actions of learning automata (2004)The accuracy, fairness, and limits of predicting recidivism (2018)Responsibility Gap(s) Due to the Introduction of AI in Healthcare: An Ubuntu-Inspired Approach (2024)Working and organizing in the age of the learning algorithm (2018)Dissecting racial bias in an algorithm used to manage the health of populations (2019)The global landscape of AI ethics guidelines (2019)
this work references cited by second hop

References

  • 2006Using thematic analysis in psychology193,725 cited
  • 2015Reviews: Rapid! Rapid! Rapid! …and systematic166 cited
  • 2023Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning142 cited
  • 2019Toward the Agile and Comprehensive International Governance of AI and Robotics [point of view]63 cited
  • 2024Advancing AI Data Ethics in Nursing: Future Directions for Nursing Practice, Research, and Education57 cited
  • 2023Responsibility Gaps and Black Box Healthcare AI: Shared Responsibilization as a Solution55 cited

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