Lin, H., Westbrook, A., Fan, F., & Inzlicht, M. (2024). Nature Human Behaviour, 8, 988-1000.
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learned industriousness
Inzlicht, M., & Campbell, A.V. (2022). Trends in Cognitive Sciences, 26, 1035-1037.
Inzlicht, M., Shenhav, A., & Olivola, C.Y. (2018). Trends in Cognitive Sciences, 4, 337-349.
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A 28-year-old woman with a busy social life spends hours on end talking to her A.I. boyfriend for advice and consolation. And yes, they do have sex.
Michael Inzlicht, a professor of psychology at the University of Toronto, said people were more willing to share private information with a bot than with a human being. Generative A.I. chatbots, in turn, respond more empathetically than humans do. In a recent study, he found that ChatGPT’s responses were more compassionate than those from crisis line responders, who are experts in empathy. He said that a relationship with an A.I. companion could be beneficial, but that the long-term effects needed to be studied.
“If we become habituated to endless empathy and we downgrade our real friendships, and that’s contributing to loneliness — the very thing we’re trying to solve — that’s a real potential problem,” he said.
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Understanding the effort paradox can help you reshape your relationship to exertion so that you commit to those hard but truly meaningful activities
“On the one hand, effort is costly,” says Michael Inzlicht, a psychologist at the University of Toronto, Canada. “On the other hand, it looks like we tend to value those things that we exerted effort for.” In a seminal 2018 paper, he and his colleagues dubbed this apparent conflict the “effort paradox”. Since then, psychologists have been figuring out the origins of the effort paradox and why some of us struggle with tasks that others might find easy. What they are finding is offering fresh insights not only into how you can get off the couch and into your running shoes, but also how you can learn more effectively, better empathise with others and even cultivate a more meaningful life. “[It seems] that if we can become…
Collaborators
- Joshua Aronson, New York University
- Avi Ben-Zeev, San Francisco State University
- Elliot Berkman, University of Oregon
- Kirk Brown, Virginia Commonwealth University
- Daryl Cameron, Penn State University
- Belle Derks, Utrecht University
- Jennifer Gutsell, Brandeis University
- Greg Hajcak, Florida State University
- Eddie Harmon-Jones, University of New South Wales
- Jacob Hirsh, University of Toronto
- Cendri Hutcherson, University of Toronto
- Sonia Kang, University of Toronto
- Michael Larson, Brigham Young University
- Lisa Legault, Clarkson University
- Ian McGregor, University of Waterloo
- Marina Milyavskaya, Carleton University
- Sukhvinder Obhi, McMaster University
- Liz Page-Gould, University of Toronto
- Travis Proulx, Cardiff University
- Blair Saunders, University of Dundee
- Brandon Schmeichel, Texas A&M University
- Zindel Segal, University of Toronto
- Alexa Tullett, University of Alabama
University of Toronto
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- Association for Psychological Science
- Canadian Psychological Association
- Canada Foundation for Innovation
- International Social Cognition Network
- International Society for Research on Emotion
- National Academy of Education
- Natural Sciences and Engineering Research Council of Canada
- Social and Affective Neuroscience Society
- Social Psychology Network
- Social Sciences and Humanities Research Council
- Society for Personality and Social Psychology
- Society for Psychophysiological Research
- Spencer Foundation
University of Toronto professor Michael Inzlicht wanted to find out who's better at empathic responses: people, or ChatGPT. He explains to CBC Metro Morning how AI won the empathy contest.
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