In the context of human action, management professor at HEC Paris and former McKinsey senior partner Olivier Sibony defines “noise” as the unwanted variability in human judgment.
For decades, American society has normalized the presence of anti-Asian humor. Caricatured on television, belittled at comedy clubs, targeted on social media, and mocked in private conversations, this subtle, yet widely accepted form of racism dehumanizes the Asian American Pacific Islander (AAPI) community.
The author of a new book on the response to the coronavirus tries first to understand how apparently sane people could think it made sense to implement damaging policies, and secondly asks how the public might ensure that such a disastrous episode can never happen again.
“The brain is an association-seeking machine,” Harvard social psychologist Mahzarin R. Banaji tells interviewer David Edmonds in this Social Science Bites podcast. “It puts things together that repeatedly get paired in our experience. Implicit bias is just another word for capturing what those are when they concern social groups.
Philosopher Tom Chatfield’s media presence – which is substantial – is often directly linked to his writings on technology. But his new book is on critical thinking, and while that involves humanity’s oldest computer, the brain, Chatfield explains in this Social Science Bites podcast that new digital realities interact with old human biases.
“As a behavioral scientist,” Iris Bohnet tells David Edmonds in this Social Science Bites podcast looking at implicit bias, “I strongly believe that we now do have the insights and the tools to help us promote behavior change, not by changing mindsets but changing organizations.”
Thinking is hard, and most of the time we rely on simple psychological mechanisms that can lead us astray. In this episode of the Social Science Bites podcast, the Nobel-prizewinning psychologist Daniel Kahneman, author of Thinking, Fast and Slow, talks to Nigel Warburton about biases in our reasoning.
In today’s management world, the growing consensus holds that transparency is good for any organization. But a study in the Journal of […]
Drawing on discussions with academics who have oriented their work around public engagement and social impact, Daniel Pearson suggests these academics present an opportunity to rethink the existing structures of reward and recognition in higher education. “We are, as a species, addicted to story,” says English professor Jonathan Gottschall in his book, The Storytelling Animal. “Even when the […] Tom Burns, whose combination of play — and plays – with teaching in higher education added a light, collaborative and engaging model […] A 2024 report by the National Academies explores the latest advances in artificial intelligence (AI) technology and their potential effects on economic productivity, job stability, and income inequality. It also highlights key research opportunities and data needs to help workers and policymakers adapt to the evolving AI landscape. In this post, co-authors Frank T. Piller, Tucker J. Marion, and Mahdi Srour reflect on the inspiration behind their research article, “Generative […] During the final stages of editing the proofs for Artificial Intelligence and Work: Transforming Work, Organizations, and Society in an Age of Insecurity, […]
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Impact
Young Scholars Can’t Take the Field in Game of Academic Metrics
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Canada’s Storytellers Challenge Seeks Compelling Narratives About Student Research
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Tom Burns, 1959-2024: A Pioneer in Learning Development
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Innovation
NAS Report Examines Nexus of AI and Workplace
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When Do You Need to Trust a GenAI’s Input to Your Innovation Process?
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The Authors of ‘Artificial Intelligence and Work’ on Future Risk
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