“Evolutionary Intelligence: How Technology Will Make Us Smarter” with Professor W. Russell Neuman

Evolutionary Intelligence book reviewed at Bridging the Gaps

Artificial intelligence (AI) has emerged as one of the most remarkable advancements of our time. It is a powerful evolving technology that has transformed the way we interact with machines and perceive the capabilities of computer systems. However, with this newfound power comes a natural apprehension. There is a noticeable fear surrounding the unintentional consequences and unintended implications of Artificial Intelligence. As this technology becomes increasingly integrated into our daily lives, the question is: how justified are our fears and just how tangible, and how real is the threat posed by this revolutionary technology? Perhaps, the underlying cause of these fears is our tendency to unjustifiably attribute human traits to the machines we may construct.

A compelling new perspective suggests that human intelligence will evolve alongside digital technology, leading to a transformative coevolution of human and artificial intelligence. This augmented intelligence will reshape our thinking and behaviour. In his recent book “Evolutionary Intelligence: How Technology Will Make Us Smarter” Professor W. Russell Neuman offers a remarkably optimistic perspective where computational intelligence not only addresses the well-known limitations of human judgement but also enhances decision-making capabilities and expands our capacity for action. In this episode of Bridging the Gaps, I speak with Professor W. Russell Neuman. We discuss how our future depends on our ability to computationally compensate for the limitations of the human cognitive system. We explore Neuman’s viewpoint that “if intelligence is the capacity to match means with ends, then augmented intelligence can offer the ability to adapt to changing environments as we face the ultimate challenge of long-term survival”. Professor Neuman’s distinctive approach to explain complex concepts through narratives and anecdotes adds an engaging layer of interest to this discussion. This highly informative discussion makes a powerful argument for the continued coexistence of humans and their machines.

W. Russell Neuman is Professor of Media Technology at New York University. He is a specialist in new media and digital education. He is a founding faculty of the MIT Media Lab. He served as a Senior Policy Analyst in the White House Office of Science and Technology Policy, working in the areas of information technology, broadband policy, and technologies for border security.

Complement this discussion with Reclaiming Human Intelligence and “How to Stay Smart in a Smart World” with Prof. Gerd Gigerenzer and then listen to “Working with AI: Real Stories of Human-Machine Collaboration” with Professor Thomas Davenport and Professor Steven Miller.

By |March 31st, 2024|Artificial Intelligence, Computer Science, Future, Information, Knowledge, Podcasts, Technology|
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“The AI Playbook: Mastering the Rare Art of Machine Learning Deployment” with Eric Siegel

The AI Playbook featured on Bridging the Gaps

The most powerful tool often comes with the greatest challenges. In recent times Machine learning has emerged as the world’s leading general-purpose technology, yet its implementation remains notably complex. Beyond the realm of Big Tech and a select few leading enterprises, many machine learning initiatives don’t succeed, failing to deliver on their potential. What’s lacking? A specialised business approach and development & deployment strategy tailored for widespread adoption. In his recent book “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment” acclaimed author Eric Siegel introduces a comprehensive six-step methodology for guiding machine learning projects from inception to implementation. The book showcases the methodology through both successful and unsuccessful anecdotes, featuring insightful case studies from renowned companies such as UPS, FICO, and prominent dot-coms. In this episode of Bridging the Gaps, I speak with Eric Siege. We discuss this disciplined approach that empowers business professionals, and establishes a sorely needed strategic framework for data professionals.

Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker.

We begin our discussion by addressing Eric’s notable observation, highlighted both in his presentations and book, that the “AI Hype” is a distraction for companies. Eric elaborates on this notion, providing detailed insights. Additionally, we explore the suggestion to shift focus from the broad term “AI” to the more specific “Machine Learning.” Our conversation then delves into the challenges faced by companies and professionals in conceptualising and deploying AI-driven ideas and solutions. This then leads to the consideration of whether forming specialised teams and developing focused strategies are necessary to address these challenges effectively. Next, we delve into the intricacies of the six-step BizML process introduced by Eric in his book, comparing it to the concept of MLOps. We then thoroughly examine the BizML process, dissecting its components and implications. Overall, this has been a highly enlightening and informative discussion.

Complement this discussion with “Working with AI: Real Stories of Human-Machine Collaboration” with Professor Thomas Davenport and Professor Steven Miller and then listen to “Machines like Us: TOWARD AI WITH COMMON SENSE” with Professor Ronald Brachman

By |February 11th, 2024|Artificial Intelligence, Computer Science, Podcasts, Technology|
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“Sharing Our Science: How to Write and Speak STEM” with Professor Brandon Brown

Sharing Our Science book reviewed on Bridging the Gaps

Science communication plays an important role in bridging the gap between researchers and the general public, fostering understanding, engagement, and appreciation for scientific explorations and advancements. In an era where science and technology shape every aspect of our lives, effective communication of research findings is more critical than ever. This is also a time where there are conflicting views about scientific work and polarizations in societies. This makes effective science communication even more important not only to ensure that scientific knowledge is accessible to all, but also to empower individuals to make informed decisions, influences policy-making, and fosters trust in the scientific community. However, effective science communication goes beyond simply disseminating information; it requires clarity, creativity, and engagement strategies tailored to diverse audiences. By employing clear language and compelling storytelling researchers can effectively communicate their findings, thereby enhancing public awareness and understanding of the profound impact that science has on society. In his recent book “Sharing Our Science: How to Write and Speak STEM” Professor Brandon Brown, a scientist-turned-writing teacher, provides a highly valuable resource for STEM practitioners aiming to effectively convey their technical work to both specialised and general audiences. In this episode of Bridging the Gaps I speak with Professor Brandon Brown; we discuss this personal, practical, and inspirational guide for scientists and technical professionals seeking to enhance their written and oral communication skills in STEM fields.

Brandon Brown is a Professor of Physics and communications specialist at the University of San Francisco. He is an excellent science communicator. He has written for publications such as Slate, Smithsonian, and Scientific American and served as Deputy Director at the Green Science Policy Institute and a Senior Writing Coach for the Strictly Speaking Group.

We begin by exploring the significance of storytelling in effective science communication, delving into diverse tools and approaches such as tension and narrative to enhance the communication of scientific concepts. We further examine the utilisation of relatable examples, including simplifying large numbers and intricate comparisons like the size of an atom relative to its nucleus, to improve clarity and facilitate comprehension. We also address the detrimental effects of disinformation on science communication, which can lead to societal polarisation and divisions. We also reflect on Professor Brandon Brown’s personal encounters, highlighting how adept communication of challenging facts can profoundly influence individuals. This has been both informative and insightful discussion.

Complement this discussion with On Public Communication of Science and Technology with Professor Bruce Lewenstein and then listen to “The Joy of Science” with Professor Jim Al-Khalili

By |February 7th, 2024|Information, Knowledge, Podcasts, Research|
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