0 ratings
The Alignment Problem: Machine Learning and Human Values
genuine image
The Alignment Problem: Machine Learning and Human Values
If you’re going to read one book on artificial intelligence, this is the one. ―Stephen Marche, New York Times
The Alignment Problem: Machine Learning and Human Values
Item #: 33938248

The Alignment Problem: Machine Learning and Human Values

Item #: 33938248

ISK 4162

ISK 4410

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from US

6%

0 ratings Write a review
In stock
us Imported from USA store

QTY:

Order now and get it around Wednesday, June 24
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
If you’re going to read one book on artificial intelligence, this is the one. ―Stephen Marche, New York Times
Show More
U-Care Warranty:
None
Select a Plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Buy Now.

What Stands Out

Ethical Design
Integrates human values into machine learning processes, ensuring technology aligns with societal norms and ethical standards, promoting responsible AI development.
Comprehensive Insights
Offers in-depth analysis of the intersection between technology and ethics, aiding stakeholders in understanding challenges and guiding informed decision-making for AI implementations.
Future-Oriented Approach
Addresses potential risks of AI misalignment with human values, preparing organizations and developers to navigate the evolving landscape of ethics in technology.

Product Details

Discover the intersection of machine learning and human values with The Alignment Problem book. Order your copy today from Ubuy Iceland for an enlightening read.
  • 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.
Publisher W. W. Norton & Company
Publication date October 5, 2021
Language English
Print length 496 pages
ISBN-10 0393868338
ISBN-13 978-0393868333
Item Weight 14.1 ounces (399.74 grams)
Dimensions 5.5 x 1.1 x 8.3 inches (14 x 2.8 x 21.1 cm)

Who Should Buy?

Suitable For
  • AI Researchers

    Researchers seeking to understand the ethical implications of AI will benefit from the detailed analysis presented in this work.

  • Ethics Students

    Students studying ethics and technology will find valuable insights on how human values interact with machine learning advancements.

  • Policy Makers

    Policymakers involved in AI regulation can learn about aligning machine learning with societal values and proposed governance strategies.

Not Suitable For
  • Casual Readers

    Individuals looking for light reading or entertainment may not engage deeply with the technical discussions in this book.

  • Beginner Technologists

    Beginners in technology might find the concepts too complex without a foundational understanding of AI and machine learning.

  • Narrow Focus Groups

    Groups focused purely on technical aspects of AI without consideration of ethics may not find this book relevant or useful.

Product Description

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What is 'The Alignment Problem: Machine Learning and Human Values' about?

    Answer: The book explores the complexities of aligning artificial intelligence (AI) with human values. It examines the challenges in ensuring that AI systems act in ways that are beneficial to society. By analyzing various machine learning techniques and ethical dimensions, the author sheds light on potential risks and solutions. This book is essential for anyone interested in understanding how AI can be developed in a manner that respects human rights and moral frameworks.
  • Question: Who is the author of 'The Alignment Problem: Machine Learning and Human Values'?

    Answer: 'The Alignment Problem' is penned by Brian Christian, a renowned author and expert in the field of AI and machine learning. Christian has a background in computer science and philosophy, allowing him to explore these technical topics with depth and clarity. His insights and engaging writing style make complex subjects accessible, making this book appealing to both professionals and lay readers interested in technology and ethics.
  • Question: What are the key themes discussed in the book?

    Answer: Key themes include the ethical implications of AI development, the risks of misalignment between machine learning algorithms and human values, and potential frameworks for responsible AI design. Christian not only identifies the problems but also discusses practical solutions and strategies for ensuring that AI serves humanity’s best interests. This comprehensive approach makes the book relevant for technologists, policymakers, and ethicists alike.
  • Question: Is 'The Alignment Problem' suitable for beginners in AI?

    Answer: Yes, the book is accessible to beginners as it avoids overly technical jargon and includes explanations of essential concepts in AI and machine learning. Brian Christian employs relatable examples and narratives to engage readers without a technical background. Beginners interested in the ethical implications of technology will find this book valuable for understanding the importance of aligning AI with human values.
  • Question: How can 'The Alignment Problem' be useful for policy-makers?

    Answer: 'The Alignment Problem' serves as a critical resource for policy-makers involved in developing regulations surrounding AI technologies. By offering insights into ethical considerations and the societal impact of AI, the book equips leaders with the knowledge to create informed policies that promote responsible innovation. The case studies and examples provided in the book can be leveraged to foster discussions on the governance of AI in various sectors.
  • Question: What practical examples does the book provide?

    Answer: The book includes numerous case studies that illustrate real-world scenarios where AI alignment has been a challenge. For instance, it addresses instances of biased algorithms and their consequences in areas like hiring and law enforcement. These examples highlight the urgent need for effective alignment strategies, making the complex topic of machine learning relatable and urgent for readers across various fields.
  • Question: Can 'The Alignment Problem' help developers in AI?

    Answer: 'The Alignment Problem' is an invaluable resource for AI developers as it provides insights into building ethically sound systems. The book discusses methodologies for testing and aligning machine learning models with human values, which can enhance the ethical development of technology. Developers can utilize these concepts to ensure that their creations are not only innovative but also socially responsible.
  • Question: Are there any criticisms of the book?

    Answer: Some readers argue that while 'The Alignment Problem' presents compelling arguments, it occasionally leans towards an overly cautious view of AI development. Critics suggest that it may underemphasize the potential benefits and advancements that AI can bring to society. However, this critical perspective can foster important discussions on balancing innovation with ethical considerations, making the book a catalyst for diverse viewpoints on AI.
  • Question: How does this book fit into the larger conversation about AI ethics?

    Answer: 'The Alignment Problem' is a significant contribution to the ongoing dialogue surrounding AI ethics, addressing pressing concerns about the impact of machine learning on society. By focusing on the necessity of aligning AI behaviors with human values, the book encourages readers to think critically about technology’s role in our lives. It stimulates broader discussions on accountability and ethics in the rapidly evolving tech landscape.
  • Question: Where can I buy 'The Alignment Problem: Machine Learning and Human Values'?

    Answer: You can purchase 'The Alignment Problem: Machine Learning and Human Values' from Ubuy. They offer a user-friendly platform for browsing and buying a wide range of products. Simply visit their website, search for the book's title, and you’ll find options to place your order conveniently.

Intelligence & Semantics Editorial Review

  • ubuy Iceland

"The Alignment Problem: Machine Learning and Human Values" by Brian Christian provides a comprehensive review of the history of A.I. development, highlighting the challenges and successes in creating artificial intelligence systems that align with human values. Christian's book explores the evolution of A.I. from expert systems to modern technologies like facial recognition and ChatGPT, offering insights into the current state of the field and the complex moral and ethical dilemmas it presents. The author's engaging writing style and logical structure make this book a compelling and educational read for anyone interested in understanding the intersection of technology and human values.

Customer Reviews & Ratings

4.6
690 customers ratings
  • 5 Star
    70%
  • 4 Star
    23%
  • 3 Star
    6%
  • 2 Star
    1%
  • 1 Star
    0%

Review this product

Share your thoughts with other customers

Pros

  • Comprehensive overview of A.I. development history
  • Engaging writing style and logical structure
  • Offers insights into moral and ethical challenges of A.I.
  • Useful tips and tricks for solving common problems in AI/ML space

Cons

  • Some readers found the book overly enthusiastic

Product Price History

Important information

  • Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
  • Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.

ISK 4162

ISK 4410

Order now and get it around Wednesday, June 24

QTY:

Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Features & Benefits

  • A jaw-dropping exploration of the risks and challenges of AI systems
  • Reveals the ethical and potentially existential risks of machine-learning systems
  • Explores real-world examples of biases and issues in AI systems
  • Introduces the efforts to solve the alignment problem
  • Blends history and on-the-ground reporting in a gripping narrative
  • An unflinching reckoning with humanity’s biases and blind spots