A thorough analysis of how individuals respond to human activities versus machine actions. This book investigates when and why people differentiate between humans and machines through dozens of tests.
How would you feel if a machine took your job? What if the tsunami warning system malfunctions? Would it make a difference to how you responded to discriminatory acts whether they were committed by a human or a machine? What about community monitoring?
This book contrasts how people respond to human and machine acts. This book demonstrates the biases that permeate interactions between humans and machines using data gathered from numerous trials.
It offers a distinctive viewpoint on the relationship between AI and society. The studies and hypotheses in How Humans Judge Machines should be read by everyone with an interest in the ethics of AI in the future.
It addresses these urgent technology issues using hard science. It develops illuminating counterfactuals and builds statistical models using randomized experiments to explain how and whether humans fairly rate artificial intelligence. How Humans Judge Machines advances our understanding of the ethical implications of AI through novel research.
