Why is scientific progress slowing down? That's a question that's been on the minds of many. But before we dive into that, let's ponder this—how do we even know that scientific progress is decelerating? And in an era where machines are capable of understanding complexities that sometimes surpass human cognition, how should we approach the future of knowledge?

Joining us in this exploration is Professor James Evans from the University of Chicago. As the director of the Knowledge Lab at UChicago, Professor Evans is at the forefront of integrating machine learning into the scientific process. His work is revolutionizing how new ideas are conceived, shared, and developed, not just in science but in all knowledge and creative processes.

Our conversation today is a journey through various intriguing landscapes. We'll delve into questions like:

Why has the pace of scientific discovery slowed, and can AI be the catalyst to reaccelerate it?
How does the deluge of information and the battle for attention affect the evolution of ideas?
What are the predictive factors for disruption and novelty in the idea landscape?
How should teams be structured to foster disruptive innovation?
What risks do homogeneity in thinking and AI model concentration pose?
How can we redefine diversity in the context of both human and AI collaboration?
What does the evolving nature of knowledge mean for the next generation of scientists?
Can tools like ChatGPT enhance diversity and innovative capabilities in research?
Is it time to debunk the myth of the lone genius and focus instead on the collective intelligence of humans and AI?

We're also thrilled to discuss Professor Evans' upcoming book, "Knowing," which promises to be a groundbreaking addition to our understanding of these topics.

So, whether you're a scientist, a creative, a business leader, a data scientist or just someone fascinated by the interplay of human intelligence and artificial technology, this episode is sure to offer fresh perspectives and insights.

About Artficiality from Helen & Dave Edwards:

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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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James Evans: Scientific Progress

Stay Human, from the Artificiality Institute