How Humans Judge Machines, (Hardcover)
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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.
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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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