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The Alignment Problem: How Can Artificial Intelligence Learn Human Values?
86% of respondents would recommend this to a friend
TMT 111
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Vital reading. This is the book on artificial intelligence we need right now.
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Product Details
| Publisher | Atlantic Books |
| Publication date | September 2, 2021 |
| Language | English |
| Print length | 476 pages |
| ISBN-10 | 1786494337 |
| ISBN-13 | 978-1786494337 |
| Dimensions | 5.08 x 1.42 x 7.8 inches (12.9 x 3.6 x 19.8 cm) |
Who Should Buy?
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AI Enthusiasts
Individuals passionate about artificial intelligence will gain insights into understanding the ethical implications of AI development.
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Ethics Researchers
Scholars focused on ethics will find valuable discussions on how AI can align with human moral values.
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Tech Professionals
Software engineers and developers will benefit from understanding how to integrate human values into AI systems effectively.
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Casual Readers
Those looking for light reading may find the technical discussions and concepts too complex or dense.
Product Description
The Alignment Problem: How Can Artificial Intelligence Learn Human Values?
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Ethics & Morality Editorial Review
"The Alignment Problem" offers a comprehensive perspective on the science behind artificial intelligence and machine learning, but fails to deliver satisfactory insights into the ethical and moral implications of this rapidly evolving field. The book's historical review of AI is engaging, but it falls short of adequately addressing the titular question of how AI can learn human values. Overall, while an entertaining read, it ultimately falls flat in addressing the key issues surrounding AI.
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Pros
- Provides a good overview of the science behind AI and machine learning
- Clear and easy to understand writing style
Cons
- Fails to adequately address the ethical and moral implications of AI
Product Price History
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TMT 111
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Features & Benefits
- Artificial Intelligence is dominating every aspect of modern lives.
- AI is greatly influencing our daily decisions.
- The Alignment Problem is a conundrum that experts are working to solve.
- The book provides an accessible primer to the most important issues facing AI researchers today.
- The future risks a future with unregulated algorithms that propagate biases or even violate our most sacred values.
- The book explains real-world examples of AI programs that cheated on computer games and sexist algorithms behind Google Translate.
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