Pulling from ethics, computer science, philosophy of science, and history, this book offers a series of investigative tools to enable readers to establish interdisciplinary connections and explore ethical issues involving artificial intelligence. Covering broad themes including democracy and the moral responsibility of scientists, the text also delves into specific topics such as modelling bias, risk assessment, privacy, epistemic concerns, the implementation of AI in medicine, the uses of generative AI for writing and art, and the impact that AI can have on human behaviour. Throughout the book, the application of various ethical theories and conceptual frameworks is modelled for students, helping them to become thoughtful inquirers in the exciting and growing field of artificial intelligence.
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Matthew S.W. Silk and Ian J. MacDonald are instructors in philosophy at the University of Waterloo.
Pulling from ethics, computer science, philosophy of science, and history, this book offers a series of investigative tools to enable readers to establish interdisciplinary connections and explore ethical issues involving artificial intelligence. Covering broad themes including democracy and the moral responsibility of scientists, the text also delves into specific topics such as modelling bias, risk assessment, privacy, epistemic concerns, the implementation of AI in medicine, the uses of generative AI for writing and art, and the impact that AI can have on human behaviour. Throughout the book, the application of various ethical theories and conceptual frameworks is modelled for students, helping them to become thoughtful inquirers in the exciting and growing field of artificial intelligence.
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