Psychology RSS

Daniel Schmachtenberger, Mental Health, Metacrisis, Philosophy, Psychology -

Addressing the Metacrisis: Urgent Action for a Sustainable Future

Addressing the Metacrisis: Urgent Action for a Sustainable Future
An introduction to the Metacrisis by Daniel Schmachtenberger, founding member of The Consilience Project. Moderated by Niklas Adalberth, founder of Norrsken Foundation. Recorded live during Stockholm Impact/Week 2023. Stockholm Impact Week is an annual Summit hosted by Norrsken and the City of Stockholm, dedicated to defining the critical issues of our time and enabling solutions to them. Read more about Norrsken Foundation: norrsken.org Read more about Stockholm Impact/Week 2023: impactweek.se

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Glenn Loury, Jordan B Peterson, Psychology -

The Uncomfortable Truth Behind Economic Inequality | Glenn Loury | EP 245

The Uncomfortable Truth Behind Economic Inequality | Glenn Loury | EP 245

 

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Artificial Cognition, Cognitive Bias, Psychology, Singularity Ready -

How To Argue With Someone Who Won’t Listen

How To Argue With Someone Who Won’t Listen

It seems to be harder than ever to get through to people logically. In fact, some of the smartest people have the most sophisticated psychological booby traps when it comes to heated subjects. In this video, we're going to break down why sometimes people won’t listen to reason even when they’re smart, and what techniques you can use to finally get through to someone who can’t listen to reason.       #BrokenBrains  #CognitiveDisonnance #BiasDetection#BiasCompensation  

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Ethics, Jordan B Peterson, Philosophy, Psychology -

Jordan Peterson - Instantly OWNS Woke Feminist Who Tries To Cancel Him

Jordan Peterson - Instantly OWNS Woke Feminist Who Tries To Cancel Him

   

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Artificial Cognition, Psychology -

Artificial cognition: How experimental psychology can help generate explainable artificial intelligence

Artificial cognition: How experimental psychology can help generate explainable artificial intelligence

Abstract Artificial intelligence powered by deep neural networks has reached a level of complexity where it can be difficult or impossible to express how a model makes its decisions. This black-box problem is especially concerning when the model makes decisions with consequences for human well-being. In response, an emerging field called explainable artificial intelligence (XAI) aims to increase the interpretability, fairness, and transparency of machine learning. In this paper, we describe how cognitive psychologists can make contributions to XAI. The human mind is also a black box, and cognitive psychologists have over 150 years of experience modeling it through experimentation....

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