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Keyword

algorithmic bias

Description: Systematic, repeatable distortions in algorithmic systems that produce unfair outcomes for individuals or groups in automated processes.
Wikidata ID: wiki/Q45253460
OpenAlex ID: keywords/algorithmic-bias
High-performance medicine: the convergence of human and artificial intelligence
2018 · Eric J. Topol · Nature Medicine · 10,216
ChatGPT for good? On opportunities and challenges of large language models for education
2023 · Enkelejda Kasneci, Kathrin Sessler, et al. · Learning and Individual Differences · 7,322
Dissecting racial bias in an algorithm used to manage the health of populations
2019 · Ziad Obermeyer, Brian Powers, et al. · Science · 7,011
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Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
2023 · Yogesh K. Dwivedi, Nir Kshetri, et al. · International Journal of Information Management · 4,514
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Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 · Shuroug A. Alowais, Sahar S. Alghamdi, et al. · BMC Medical Education · 3,111
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Key challenges for delivering clinical impact with artificial intelligence
2019 · Christopher J. Kelly, Alan Karthikesalingam, et al. · BMC Medicine · 3,074
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Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning
2023 · David Baidoo-Anu, Leticia Owusu Ansah · Journal of AI · 2,966
Semantics derived automatically from language corpora contain human-like biases
2017 · Aylin Caliskan, Joanna J. Bryson, et al. · Science · 2,834
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How artificial intelligence will change the future of marketing
2019 · Thomas Davenport, Abhijit Guha, et al. · Journal of the Academy of Marketing Science · 2,825
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Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
2022 · Yogesh K. Dwivedi, Laurie Hughes, et al. · International Journal of Information Management · 2,742
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Algorithms of Oppression
2018 · Safiya Umoja Noble · NYU Press eBooks · 2,708
ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
2023 · Partha Pratim Ray · Internet of Things and Cyber-Physical Systems · 2,446
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
2016 · Cathy O’Neil · 2,335
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
2017 · Alexandra Chouldechova · Big Data · 2,147
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Machine Learning: An Applied Econometric Approach
2017 · Sendhil Mullainathan, Jann Spiess · The Journal of Economic Perspectives · 1,964
Certifying and Removing Disparate Impact
2015 · Michael Feldman, Sorelle A. Friedler, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 1,824
Implementing Machine Learning in Health Care — Addressing Ethical Challenges
2018 · Danton S. Char, Nigam H. Shah, et al. · New England Journal of Medicine · 1,819
The false hope of current approaches to explainable artificial intelligence in health care
2021 · Marzyeh Ghassemi, Luke Oakden-Rayner, et al. · The Lancet Digital Health · 1,671
Ethics of AI in Education: Towards a Community-Wide Framework
2021 · Wayne Holmes, Kaska Porayska-Pomsta, et al. · International Journal of Artificial Intelligence in Education · 1,401
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Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
2018 · Milena A. Gianfrancesco, Suzanne Tamang, et al. · JAMA Internal Medicine · 1,384
A SWOT analysis of ChatGPT: Implications for educational practice and research
2023 · Mohammadreza Farrokhnia, Seyyed Kazem Banihashem, et al. · Innovations in Education and Teaching International · 1,368
Chatting about ChatGPT: how may AI and GPT impact academia and libraries?
2023 · Brady D. Lund, Ting Wang · Library Hi Tech News · 1,348
Ensuring Fairness in Machine Learning to Advance Health Equity
2018 · Alvin Rajkomar, Michaela Hardt, et al. · Annals of Internal Medicine · 1,320
Ethical and legal challenges of artificial intelligence-driven healthcare
2020 · Sara Gerke, Timo Minssen, et al. · Elsevier eBooks · 1,159
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The accuracy, fairness, and limits of predicting recidivism
2018 · Julia Dressel, Hany Farid · Science Advances · 1,066
Works count: 57,690
Citation count: 428,700
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