Ethical machines : your concise guide to totally unbiased, transparent, and respectful AI
(Book)
Author
Published
Boston, Massachusetts : Harvard Business Review Press, [2022].
ISBN
9781647822811, 1647822815
Physical Desc
204 pages : illustrations ; 25 cm
Status
Copies
Location | Call Number | Status |
---|---|---|
St. George's - Non-Fiction | 174.9 B629 | On Shelf |
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More Details
Published
Boston, Massachusetts : Harvard Business Review Press, [2022].
Format
Book
Language
English
ISBN
9781647822811, 1647822815
Notes
Bibliography
Includes bibliographical references and index.
Description
"The promise of artificial intelligence is automated decision-making at scale, but that means it also automates risk at scale. Are you prepared for that risk? Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did. In this environment, AI ethics isn't merely an academic curiosity, it's a business necessity. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge, then to build, procure, and deploy AI in an ethically (and thus reputationally, regulatory, and legally) safe way, and do it at scale. And don't worry, we're here to get work done, not to ponder deep and existential questions about ethics and technology. Blackman's clear and accessible writing helps make a complex and often misunderstood concept like ethics easy to grasp. You will understand ethical concepts while barely knowing you are taking them on. More importantly, Blackman makes ethics actionable. He tackles the big three ethical risks with AI-bias, explainability, and privacy-and tells you what to do (and what not to do) to mitigate ethical risks. With practical approaches to everything from how to write a strong statement of AI ethics principles to how to create teams that effectively evaluate ethical risks, Ethical Machines is the one guide you need to ensure you're using utterly unbiased, totally transparent, and remarkably respectful artificial intelligence"--,Provided by publisher.
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Citations
APA Citation, 7th Edition (style guide)
Blackman, R. (2022). Ethical machines: your concise guide to totally unbiased, transparent, and respectful AI . Harvard Business Review Press.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Blackman, Reid. 2022. Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI. Harvard Business Review Press.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Blackman, Reid. Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI Harvard Business Review Press, 2022.
MLA Citation, 9th Edition (style guide)Blackman, Reid. Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI Harvard Business Review Press, 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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