BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

The Alignment Problem: Machine Learning and Human Values

The Alignment Problem: Machine Learning and Human Values

The Alignment Problem: Machine Learning and Human Values
Stock photo: cover may vary

The Alignment Problem: Machine Learning and Human Values Paperback - 2021

by Christian, Brian

Add to wish list
This seller has earned a 4.34 of 5 Stars rating from internet customers.
  • Used
  • very good
  • Paperback
Used - Very good

Description

W. W. Norton & Company, 10/5/2021 12:00:01 A. paperback. Very Good. 1.2600 in x 8.2300 in x 5.4700 in. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.
Ask the seller a question Add to wish list
A$22.30
Free Delivery within USA
Standard delivery: 2 to 7 days
More delivery options
Ships from Spellbound (Pennsylvania, United States)

Details

About Spellbound Pennsylvania, United States

Biblio member since 2012

We are an internet retailer in business since 2004. Our catalog currently contains more than 40,000 different titles. We ship internationally and have sold items to 60+ countries within the past year.

Terms of Sale:

30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Spellbound

Reader reviews for The Alignment Problem: Machine Learning and Human Values

From the publisher

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 rsums 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.

tracking-