Category: Book
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Discriminating Data
Author: Wendy Hui Kyong Chun; Publisher: MIT Press; Publication Year: 2021. The following book discusses the innate bias that comes from dirty data and how removing indicators of race will not remove bias from artificial…
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The Hitchhiker’s Guide to Responsible Machine Learning
Author: Przemysław Biecek, Anna Kozak, Aleksander Zawada; Publisher: GitHub; Publication Year: 2022. The following comic focusses on the need to learn the importance and application of different Explainable Artificial Intelligence (XAI) concepts and methods in…
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Eight Best Books on AI Ethics and Bias
Author: Nivash Jeevanandam; Publisher: India AI; Publication Year: 2022. The following article provides a list and brief summary of eight books that address AI ethics and bias…
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Why Privacy Matters
Author: Neil Richards; Publisher: Oxford University Press; Publication Year: 2021. The following book talks about the digital world and how our current society has evolved into becoming a completely digital one. The author talks about…
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Artificial Unintelligence
Author: Meredith Broussard; Publisher: The MIT Press; Publication Year: 2018. The following book argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly…
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Beyond Data Human Rights, Ethical and Social Impact Assessment in AI
Author: Alessandro Mantelero; Publisher: Open Access; Publication Year: 2022. The following section of this book focuses on the impact of artificial intelligence (AI) on individuals and society from a legal perspective, providing a comprehensive risk-based…