The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers
Advances in artificial intelligence are increasingly leading to the automation and
augmentation of decision processes in work contexts. Although research originally generally …
augmentation of decision processes in work contexts. Although research originally generally …
The promise of adolescence: Realizing opportunity for all youth
EP Backes, RJ Bonnie - 2019 - books.google.com
Adolescenceâ€" beginning with the onset of puberty and ending in the mid-20sâ€" is a
critical period of development during which key areas of the brain mature and develop …
critical period of development during which key areas of the brain mature and develop …
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
A Chouldechova - Big data, 2017 - liebertpub.com
Recidivism prediction instruments (RPIs) provide decision-makers with an assessment of the
likelihood that a criminal defendant will reoffend at a future point in time. Although such …
likelihood that a criminal defendant will reoffend at a future point in time. Although such …
Resistance to medical artificial intelligence
Artificial intelligence (AI) is revolutionizing healthcare, but little is known about consumer
receptivity to AI in medicine. Consumers are reluctant to utilize healthcare provided by AI in …
receptivity to AI in medicine. Consumers are reluctant to utilize healthcare provided by AI in …
[BOOK][B] The psychology of criminal conduct
J Bonta, DA Andrews - 2023 - taylorfrancis.com
The Psychology of Criminal Conduct, Seventh Edition, provides a psychological and
evidence-informed perspective of criminal behavior that sets it apart from many …
evidence-informed perspective of criminal behavior that sets it apart from many …
Task-dependent algorithm aversion
Research suggests that consumers are averse to relying on algorithms to perform tasks that
are typically done by humans, despite the fact that algorithms often perform better. The …
are typically done by humans, despite the fact that algorithms often perform better. The …
Human decisions and machine predictions
Can machine learning improve human decision making? Bail decisions provide a good test
case. Millions of times each year, judges make jail-or-release decisions that hinge on a …
case. Millions of times each year, judges make jail-or-release decisions that hinge on a …
Algorithm aversion: people erroneously avoid algorithms after seeing them err.
Research shows that evidence-based algorithms more accurately predict the future than do
human forecasters. Yet when forecasters are deciding whether to use a human forecaster or …
human forecasters. Yet when forecasters are deciding whether to use a human forecaster or …
[BOOK][B] Machine, platform, crowd: Harnessing our digital future
A McAfee, E Brynjolfsson - 2017 - books.google.com
“A clear and crisply written account of machine intelligence, big data and the sharing
economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their …
economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their …
Algorithm appreciation: People prefer algorithmic to human judgment
Even though computational algorithms often outperform human judgment, received wisdom
suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this …
suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this …