From
Bay State Book Company, North Smithfield, RI, U.S.A.
Seller rating 5 out of 5 stars
AbeBooks Seller since January 23, 2023
The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing. Seller Inventory # BSM.JO4L
"If you’re going to read one book on artificial intelligence, this is the one." ―Stephen Marche, New York Times
A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them.
Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us―and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.
Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole―and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.
The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.
In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they―and we―succeed or fail in solving the alignment problem will be a defining human story.
The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture―and finds a story by turns harrowing and hopeful.
About the Author: Brian Christian is the author of the acclaimed bestsellers The Most Human Human and Algorithms to Live By, which have been translated into nineteen languages. A visiting scholar at the University of California, Berkeley, he lives in San Francisco.
Title: The Alignment Problem: Machine Learning and ...
Publisher: W. W. Norton & Company
Publication Date: 2021
Binding: Soft cover
Condition: good
Seller: Blindpig Books, Salt lake city, UT, U.S.A.
paperback. Condition: Used - Acceptable. Exterior wear. Smudges on foredge. Very readable copy. Seller Inventory # 25-10-03-di-46642-jm
Seller: HPB Inc., Dallas, TX, U.S.A.
paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_450804872
Seller: Lakeside Books, Benton Harbor, MI, U.S.A.
Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Seller Inventory # OTF-S-9780393868333
Seller: 3Brothers Bookstore, Egg harbor township, NJ, U.S.A.
Condition: very_good. Cover may have light wear, pages in very good condition and binding is sturdy; may have other light shelf wear or creases. May have notes or highlighting. Seller Inventory # EVV.0393868338.VG
Seller: Wonder Book, Frederick, MD, U.S.A.
Condition: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Seller Inventory # L03C-03511
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 42563755
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 42563755-n
Seller: Russell Books, Victoria, BC, Canada
Paperback. Condition: New. Special order direct from the distributor. Seller Inventory # ING9780393868333
Quantity: Over 20 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -Today's 'machine-learning' systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 476 pp. Englisch. Seller Inventory # 9780393868333
Seller: Wegmann1855, Zwiesel, Germany
Taschenbuch. Condition: Neu. Neuware -Today's 'machine-learning' systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Seller Inventory # 9780393868333