“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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“The Smartness Mandate” with Professor Orit Halpern

Smartness Mandate on Bridging the Gaps podcast

Smartness has permeated our lives in the form of smartphones, smart cars, smart homes, and smart cities. It has become a mandate, a pervasive force that governs politics, economics, and the environment. As our world faces increasingly complex challenges, the drive for ubiquitous computing raises important questions. What exactly is this ‘smartness mandate’? How did it emerge, and what does it reveal about our evolving understanding and management of reality? How did we come to view the planet and its inhabitants primarily as instruments for data collection?

In the book ‘The Smartness Mandate,’ co-authored by Professor Orit Halpern, the notion of ‘smartness’ is presented as more than just a technology, it is presented as an epistemology — a way of knowing. In this episode of Bridging the Gaps, I speak with Professor Orit Halpern, where we delve into the concept of smartness. We explore its historical roots and its cultural implications, particularly its emphasis on data-driven technologies and decision-making processes across domains such as urban planning, healthcare, and education.

Orit Halpern is Lighthouse Professor and Chair of Digital Cultures and Societal Change at Technische Universität Dresden. She completed her Ph.D. at Harvard. She has held numerous visiting scholar positions including at the Max Planck Institute for the History of Science in Berlin, IKKM Weimar, and at Duke University. At present she is working on two projects. The first project is about the history of automation, intelligence, and freedom; and the second project examines extreme infrastructures and the history of experimentation at planetary scales in design, science, and engineering.

Our conversation begins by discussing the idea of “smartness” as presented in the book. To understand it better, we look at a few examples. The book suggests that the smartness paradigm relies a lot on collecting data, analysing it, as well as monitoring people through surveillance. We talk about the possible risks and consequences of this data-focused approach for personal privacy and individual rights. Next, we talk about how the smartness idea connects with the concept of resilience. We also touch on the fact, as presented in the book, that the smartness paradigm often reinforces existing power structures and inequalities. We explore the biases and ethical concerns that may arise with the use of these technologies. Furthermore, we explore the possibility of using the smartness approach to promote fairness and equality. We talk about how it could be applied to create a more just society. We discuss the significance of multidisciplinarity, and the role of higher education institutions and educators to create an enabling environment for an informed discourse to address these questions. Professor Orit Halpren emphasises the importance of exploring these questions and addressing relevant concerns to make sure we create the kind of world we truly want for ourselves.

Complement this discussion with Cloud Empires: Governing State-like Digital Platforms and Regaining Control with Professor Vili Lehdonvirta and the listen to Reclaiming Human Intelligence and “How to Stay Smart in a Smart World” with Prof. Gerd Gigerenzer

By |June 6th, 2023|Computer Science, Future, Information, Knowledge, Technology|
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