We all love stories—they are one of the most important ways that humans communicate. Stories create heroes to root for and villains to revile. Stories create realities and help us align our values and objectives with others. But how do stories change in a world that is awash with data and is overwhelmed by large tech companies that try to motivate—or manipulate–us with stories using data that we don’t see and can’t comprehend?

To help answer these questions, we talked with Frank Rose about his recent book The Sea We Swim In: How Stories Work in a Data-Driven World. Frank’s book is inspired by his Strategic Storytelling seminar at Columbia University and is a wonderful resource to help understand the power of narrative thinking.

In addition to being a senior fellow at Columbia University School of the Arts, Frank is the director of Columbia’s pioneering Digital Storytelling Lab and a frequent speaker on narrative thinking and on the power of immersive storytelling. Frank’s writing and journalism career started in the punk scene at CBGB for The Village Voice and continued as a contributing editor at Esquire and then Wired. He has written several books including West of Eden about the early days of Apple Computer and The Art of Immersion about how the digital generation changed storytelling.

We greatly enjoyed talking with Frank about one of our favorite subjects: telling stories in a data-driven world.

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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