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Social impacts of algorithmic decision-making: A research agenda for the social sciences
16 references·9 citing·42 second hop
Social impacts of algorithmic decision-making: A research agenda for the social sciences (2022)Social impacts of algorithmic decision-ma…The Quarterly Journal of Economics (2024)The Quarterly Journal of Econ…In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)In AI we trust? 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(2008)Human Decisions and Machine Predictions (2017)Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management (2018)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Algorithmic Bias in Education (2021)Ethical Decision Making by Individuals in Organizations: An Issue-Contingent Model (1991)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)The global landscape of AI ethics guidelines (2019)Artificial Intelligence, Values, and Alignment (2020)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)The robust beauty of improper linear models in decision making. (1979)Preference and belief: Ambiguity and competence in choice under uncertainty (1991)Algorithms at Work: The New Contested Terrain of Control (2019)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction (2011)Trust in Automation (2014)A Theory of Fairness, Competition, and Cooperation (1999)Boys will be Boys: Gender, Overconfidence, and Common Stock Investment (2001)The Skill Content of Recent Technological Change: An Empirical Exploration (2003)
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References

  • 1991Foundations of Social Theory7,933 cited
  • 2024The Quarterly Journal of Economics7,176 cited
  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2004Trust in Automation: Designing for Appropriate Reliance6,548 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2012Fairness through awareness3,501 cited
  • 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err3,203 cited
  • 2019Algorithm appreciation: People prefer algorithmic to human judgment2,045 cited
  • 2019Principles alone cannot guarantee ethical AI1,869 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2010Complacency and Bias in Human Use of Automation: An Attentional Integration1,682 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2011Automation bias: a systematic review of frequency, effect mediators, and mitigators1,151 cited
  • 2018The accuracy, fairness, and limits of predicting recidivism1,071 cited
  • 1989Survey Errors and Survey Costs1,063 cited
  • 2020

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In AI we trust? Perceptions about automated decision-making by artificial intelligence
1,036 cited

Cited by

  • 2024Understanding how algorithmic injustice leads to making discriminatory decisions: An obedience to authority perspective45 cited
  • 2024Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector31 cited
  • 2022Dirty Data Labeled Dirt Cheap: Epistemic Injustice in Machine Learning Systems28 cited
  • 2024Algorithmic Decision-Making, Agency Costs, and Institution-Based Trust22 cited
  • 2025Trust in artificial intelligence: a survey experiment to assess trust in algorithmic decision-making22 cited
  • 2023Editorial: Big data and machine learning in sociology16 cited
  • 2024After the algorithms: A study of meta-algorithmic judgments and diversity in the hiring process at a large multisite company16 cited
  • 2023Disability Discrimination in the Digital Realm: How the ICRPD Applies to Artificial Intelligence Decision-Making Processes and Helps in Determining the State of International Human Rights Law14 cited
  • 2026Machine learning in public administration research: review and prospects1 cited