The Alignment Problem: Machine Learning and Human Values, (Paperback)
The Alignment Problem: Machine Learning and Human Values, (Paperback)
The Alignment Problem: Machine Learning and Human Values, (Paperback)
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The Alignment Problem: Machine Learning and Human Values, (Paperback)
The Alignment Problem: Machine Learning and Human Values, (Paperback)
The Alignment Problem: Machine Learning and Human Values, (Paperback)
The Alignment Problem offers an unflinching reckoning with humanity's biases and blind spots, our own unstated assumptions and often contradictory goals.
The Alignment Problem: Machine Learning and Human Values, (Paperback)
artikal br.: 43901886

The Alignment Problem: Machine Learning and Human Values, (Paperback)

93% of respondents would recommend this to a friend

artikal br.: 43901886

RSD 3345

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The Alignment Problem offers an unflinching reckoning with humanity's biases and blind spots, our own unstated assumptions and often contradictory goals.
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What Stands Out

Deep Insight
Provides comprehensive analysis of how machine learning intersects with human values, making complex concepts accessible to a broad audience.
Interdisciplinary Approach
Combines insights from ethics, technology, and policy to address the alignment problem, offering readers a well-rounded perspective on contemporary issues in AI.
Real-World Applications
Explores practical implications and case studies, illustrating how aligning AI with human values can lead to responsible technology development and implementation.

Детаљи о производу

Shop the best prices for The Alignment Problem paperback book at Ubuy Serbia. Explore the intersection of machine learning and human values. Order now!
  • Explores the concerns and risks arising from the advancement of machine learning systems
  • Discusses the ethical and existential risks that emerge when machine-learning systems do not act as intended
  • Examines real-life examples of biases in systems such as hiring algorithms and judicial assessments
  • Provides insights into the complex mathematical and computational models driving these changes
  • Follows the ambitious plan to solve the alignment problem in the field of machine learning
  • Traces the explosive growth in machine learning and presents a blend of history and on-the-ground reporting
Publication dateOctober, 2021
AuthorBrian Christian
Book formatPaperback
GenreTextbooks
Pages496
Age groupAdult
Series titleNo Series
Fiction/nonfictionNon-Fiction
PublisherW. W. Norton & Company
Educational levelHigh School
Reading levelPreschool
SubgenrePhilosophy & Social Aspects
Awards wonNo Awards Won in the past
IllustratorNo Illustrator Information
Original languagesEnglish Language
Translated fromNo Translated Form
Edu focusSolar System & Astronomy
Digital audio file formatNo Digital Audio Format
Digital file formatNo Digital File Format
Character groupNo Character Group
Recording time0 min
OccasionNO SPECIAL OCCASSION
TranslatorNo Translator info
Is collectibleN
Bisac subject headingScience
Number of discs1
Edition1
Digital reader formatNO DIGITIAL READER FORMAT
NarratorNo Narrator Info Found
LanguageEnglish
Pub date20211005
Item Weight1.5 lbs (680 grams)

Who Should Buy?

Suitable For
  • Tech Enthusiasts

    Individuals passionate about technology will appreciate insights on AI ethics and its impact on future innovations.

  • Policy Makers

    Government officials focused on technology regulation can use this knowledge to create informed policies on AI implementation.

  • Researchers

    Academics studying machine learning or ethics will benefit from exploring the complex interactions between AI and human values.

Not Suitable For
  • Casual Readers

    Those seeking light reading may find the academic nature of the book too dense and challenging to understand.

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Прос

  • Engaging writing style
  • Offers insightful perspectives
  • Balances technical and accessible
  • Thought-provoking examples

Цонс

  • Some concepts may be complex.

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RSD 3345

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Карактеристике и предности

  • Machine-learning systems trained by data are raising ethical and existential concerns.
  • Systems can have inherent biases in decision-making, with potential implications in areas such as hiring, criminal justice, and healthcare.
  • Mathematical and computational models are replacing human judgment and programmable software.
  • The book explores the explosive growth of machine learning and the challenge of aligning it with human values.
  • The author meets the first-responders to the alignment problem and shares their plan to address it.
  • The Alignment Problem is an interdisciplinary work that examines both technology and culture.

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