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11 items

• The Alignment Problem

  Machine Learning and Human Values

  Christian, Brian, 1984-

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  How do we ensure that AI is kept in alignment with human values and objectives? It’s not a simple or easy task. Christian traces AI development from its symbolic roots to current machine learning practices while exploring ethical issues in the…Read moreRead more of this annotation

• Weapons of Math Destruction

  How Big Data Increases Inequality and Threatens Democracy

  O'Neil, Cathy

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  The algorithmic computations that back AI technologies are not neutral. This book illustrates the many choices that are made in the design of these systems.  Also available as an eBook and downloadable audiobook.

• Algorithms of Oppression

  How Search Engines Reinforce Racism

  Noble, Safiya Umoja

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  Search engines are not objective tools. Nobles shows how bias is encoded into search engines and the detrimental impacts this can have especially for Black women and girls.

• Race After Technology

  Abolitionist Tools for the New Jim Code

  Benjamin, Ruha

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  Explores the inequitable history that informs technologies and how digital technologies can contribute to and reinforce discriminatory outcomes for people of colour.

• The Age of Surveillance Capitalism

  the Fight for a Human Future at the New Frontier of Power

  Zuboff, Shoshana, 1951-

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  The business model of the internet is driven by the capture of human behavioural data. Zuboff walks readers through the history of surveillance capitalism, how it’s shaped our modern world and why we should be concerned. Also available as an eBook…Read moreRead more of this annotation

• Data-ism

  the Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else

  Lohr, Steve

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  Big Data is a necessary component in the construction of AI systems. This book focuses on how datasets are constructed and used at scale. Also available as a downloadable audiobook.

• Automating Inequality

  How High-tech Tools Profile, Police, and Punish the Poor

  Eubanks, Virginia, 1972-

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  A “pull no punches” look at how vulnerable communities are often the experimental test subjects for new technologies. Eubanks explores the use of AI systems in the social services sector and their often devastating, heart-breaking results. Also…Read moreRead more of this annotation

• Invisible Women

  Data Bias in a World Designed for Men

  Criado-Perez, Caroline

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  It’s shocking to find out that there is a lack of quality research and data about women! Not having good data creates its own biases and problems especially as we move towards the increased application of data-driven technologies like AI. Also…Read moreRead more of this annotation

• Rebooting AI

  Building Artificial Intelligence We Can Trust

  Marcus, Gary F. (Gary Fred)

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  Not everyone believes that modern machine learning practices and deep learning are the future of AI. Gary Marcus provides a counterpoint to current “AI boosterism”. Also available as a downloadable audiobook.

• Genius Makers

  the Mavericks Who Brought A.I. to Google, Facebook, and the World

  Metz, Cade

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  The people who make technology get to shape it. Metz provides a fascinating look at the people who have shaped modern AI. Also available as an eBook.

• Open Data Day 2023

  View on bibliocommons.com

  EPL is thrilled to host Open Data Day 2023! Join us for an afternoon of engaging presentations and discussions as we hear from local open data experts and enthusiasts. Presenters will share thoughtful insights, eye-opening data-sets, and provide…Read moreRead more of this annotation