Metacognition and explanations as nudges

We humans make a lot of decisions. Apparently, 35,000 of them every day! So how do we improve our decisions? Is there a process to follow? Who are the experts to learn from? Do big data and AI make decisions easier or harder? Is there any way to get better at making decisions in this complex, modern world we live in?

To dig into these questions we talked with…ourselves! We recently published our first book, Make Better Decisions: How to Improve Your Decision-Making in the Digital Age. In this book, we’ve provided a guide to practicing the cognitive skills needed for making better decisions in the age of data, algorithms, and AI. Make Better Decisions is structured around 50 nudges that have their lineage in scholarship from behavioral economics, cognitive science, computer science, decision science, design, neuroscience, philosophy, and psychology. Each nudge prompts the reader to use their beautiful, big human brain to notice when our automatic decision-making systems will lead us astray in our complex, modern world, and when they'll lead us in the right direction.

In this conversation, we talk about our book, our favorite nudges at the moment, and some of the Great Minds who we have interviewed on Artificiality including Barbara Tversky, Jevin West, Michael Bungay Stanier, Stephen Fleming, Steven Sloman and Tania Lombrozo.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

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