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Artificial Intelligence Algorithms, Bias, and Innovation: Implications for Social Work
16 references·0 citing·54 second hop
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References

  • 2006Using thematic analysis in psychology237,789 cited
  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,674 cited
  • 2015Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review2,277 cited
  • 2023Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies1,148 cited
  • 2015Automated Experiments on Ad Privacy Settings870 cited
  • 2023Bias in artificial intelligence algorithms and recommendations for mitigation658 cited
  • 2020Machine Learning and Natural Language Processing in Mental Health: Systematic Review575 cited
  • 2019Artificial intelligence and algorithmic bias: implications for health systems550 cited
  • 2011Racial Bias in Child Protection? A Comparison of Competing Explanations Using National Data381 cited
  • 2020Racial Disproportionality and Disparities in the Child Welfare System: Why Do They Exist, and What Can Be Done to Address Them?362 cited
  • 2005The Persistence of Shame Following Sexual Abuse: A Longitudinal Look at Risk and Recovery339 cited
  • 2020Responding to COVID-19: New Trends in Social Workers’ Use of Information and Communication Technology200 cited
  • 2015Predictive Risk Modelling to Prevent Child Maltreatment and Other Adverse Outcomes for Service Users: Inside the ‘Black Box’ of Machine Learning149 cited

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  • 2012Back to the ‘social’ of social work: Reviving the social work profession’s contribution to the promotion of social justice145 cited
  • 2022Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support142 cited
  • 2020A Human-Centered Review of Algorithms used within the U.S. Child Welfare System116 cited
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