“The Joy of Science” with Professor Jim Al-Khalili

Can living scientifically empower us to navigate the complexities of today’s complex and unpredictable world? Can the joy of critical thinking and the effectiveness of the scientific method assist us in making better decisions? Can living a more rational life help us navigate modern life more confidently? In his new book “The Joy of Science” acclaimed physicist Jim Al-Khalili invites readers to engage with the world as scientists have been trained to do. He shows how the fundamental principles at the heart of scientific thinking, as well as the scientific process, are profoundly relevant to the perplexing times we live in and the tough choices we make. In this episode of Bridging the Gaps, I speak with professor Jim Al-Khalili and we thoroughly discuss very interesting and deeply intriguing ideas that he presents in this book.

Professor Jim Al-Khalili is a theoretical physicist at the University of Surrey where he holds a Distinguished Chair in physics as well as a university chair in the public engagement in science. He is a prominent author, broadcaster and one of Britain’s best-known science communicators.

I start our discussion with the question that how the discipline of science should be perceived. We acknowledge that there are many ways scientific work is carried out in many different disciplines. We discuss the issue of “relative truth” and how biases held by individuals impact their opinions and distort their view and lead them to their own version of truth. We explore how science deals with the issue of relative truth. We probe how the scientific method enables us to continue researching in the presence of uncertainty. We investigate the impact of misinformation and disinformation on the disciple and cause of science. We also touch upon how rational humans can become; can we think rationally only up to certain point. We discuss in detail how scientific information should be presented to policy makers that should enable and empower them to make better decisions and to make the right choices. Finally, I ask Professor Jim Al-Khalili to tell us about his research in the field of open quantum systems. This has been a fantastic discussion.

Complement this with Asking Better Questions for Creative Problem Solving, Innovation and Effective Leadership with Hal Gregersen and then listen to On Public Communication of Science and Technology with Professor Bruce Lewenstein

By |May 13th, 2022|Biology, Future, Information, Knowledge, Physics, Podcasts, Research, Technology|

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By |May 1st, 2022|Information, Podcasts, Research|

“Artificial Intelligence: A Guide for Thinking Humans” with Professor Melanie Mitchell

Recent developments in the field of Artificial Intelligence are fascinating as well as terrifying; there are extravagant promises as well as frustrating setbacks; there is great progress in narrowly focused AI applications, and there is lack of progress in the field of Artificial General Intelligence. In this episode of Bridging the Gaps I speak with professor Melanie Mitchell and we discuss the history, recent successes, huge expectations and emerging fears and frustrations in the field of Artificial Intelligence. We discuss fascinating and intriguing research that professor Melanie Mitchell discusses in her book “Artificial Intelligence: A Guide for Thinking Humans”.

Melanie Mitchell is a professor of complexity at the Santa Fe Institute in New Mexico. Her research focuses on genetic algorithms, conceptual abstraction, analogy-making and visual recognition in Artificial Intelligence Systems. Professor Mitchell originated the Santa Fe Institute’s Complexity Explorer project, an online learning resource for complex systems.

We begin our discussion by reviewing the history of this fascinating field and by discussing initial claims and hype that emerged at the start. We then discuss the transition from rule-based AI systems to machine learning approaches. We look into the successes of AI in narrowly defined task-based systems; we discuss the anomalies that emerge when the data is mildly changed. We then discuss the future development in this field and the challenges involved in making any meaningful progress towards Artificial General Intelligence and creating common sense in AI systems. The challenge of creating common sense seems similar to the challenge of finding and understanding dark matter in the field of physics, we discuss this. We look into the profound disconnect between the continuing hype and the actual achievements in AI, what the field has accomplished and how much further it has to go. We also discuss the approach of conceptual abstraction and incorporating analogy-making in AI systems. This has been a fascinating discussion about this ambitious and thought-provoking field.

Complement this discussion with “Artificial Intelligence: Fascinating Opportunities and Emerging Challenges with Professor Bart Selman and then listen to “2062: The World That AI Made” with Professor Toby Walsh