How Humans Judge Machines, (Hardcover)
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MVR 992
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Using hard science, How Humans Judge Machines reveals the biases that permeate human-machine interactions.
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- Explore how we judge humans and machines differently, depending on the scenario--from losing your job to AI to the failure of a natural disaster alert system. How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance? How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer to understanding the ethical consequences of AI.
| Manual & guide type | Instruction Manual |
| Book format | Hardcover |
| Edition | 1 |
| Pages | 256 |
| Language | English |
| Brand | Cesar A Hidalgo |
| Pub date | 2021-02-02 |
| Author | MIT Press |
| Subgenre | Ethics |
| Genre | Textbooks |
| Bisac subject heading | Science |
| Series title | No Series |
| Dimensions | 7.20 x 0.90 x 9.10 in (18.3 x 2.3 x 23.1 cm) |
| Age group | Adult |
| Retail packaging | Single Piece |
| Original languages | English |
Who Should Buy?
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AI Researchers
Ideal for those studying human interaction with machines and AI development, offering insight into user perspectives and feedback.
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Technology Enthusiasts
Perfect for individuals interested in the evolving relationship between humans and technology, exploring how we interpret machine behavior.
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Ethics Scholars
Useful for researchers focusing on the ethical implications of AI judgment by humans, enhancing discussions on machine accountability.
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Casual Readers
Not suitable for those seeking light reading; the content requires engagement with complex ideas and theories.
Product Description
Customer Questions & Answers
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Question:
What topics does the book cover?
Answer: The book covers topics such as human judgment of machines in disasters, policing, algorithmic bias, and much more. -
Question:
What kind of research is included?
Answer: The book includes original research and data from randomized experiments to explore biases in human-machine interactions. -
Question:
Who are the authors of the book?
Answer: The book is authored by César Hidalgo and colleagues from MIT Press.
Cesar A Hidalgo All Manuals & Guides Editorial Review
How Humans Judge Machines, (Hardcover) provides a comprehensive exploration of the ethical questions surrounding technology and artificial intelligence. This 256-page hardcover book by MIT Press examines how individuals evaluate machines and the implications of such judgments. The engaging content is designed for adults, combining scientific insights with ethical considerations. Readers may appreciate its structured layout and depth of knowledge, making it suitable both as a textbook and for personal reflection. The inclusion of various thought-provoking scenarios enhances understanding of the complex interplay between human decision-making and machine reliability.
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Pros
- Engaging exploration of ethics in technology
- Ideal for adult readers interested in AI
- Clear structure with comprehensive insights
- 256 informative pages packed with knowledge
- Thought-provoking scenarios enhance understanding
Cons
- Book may be too academic for casual readers
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MVR 992
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Features & Benefits
- Explores how humans judge machines differently in critical scenarios.
- Analyzes reactions to machines in contexts like job displacement and surveillance.
- Utilizes data from experiments to identify biases in human-machine interactions.
- Investigates the influence of moral dimensions on judgments of machines.
- Discusses demographic factors like education and gender in the judgment of AI.
- Offers insights into the ethical consequences of artificial intelligence.
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