“Off-Earth: Ethical Questions and Quandaries for Living in Outer Space” with Dr Erika Nesvold

Off Earth book reviewed at Bridging the Gaps: A Portal for Curious Minds

As humanity sets its sights on venturing beyond the confines of Earth, it is immensely important to acknowledge that the journey to space is not merely a technological feat, but a profoundly human endeavour. From pinpointing destinations to preparing flight plans, from developing generational ships to designing habitats, from selecting teams to establishing communities, there is a crucial element that must not be overlooked: the human dimension. From fostering a sense of community and shared purpose among spacefarers to grappling with the enforcement of laws and the establishment of governance structures in extraterrestrial settlements, addressing these aspects is essential for the success and sustainability of our off-world endeavours. Erika Nesvold’s insightful book “Off-Earth: Ethical Questions and Quandaries for Living in Outer Space” serves as a timely reminder that space exploration isn’t solely about the scientific and technical aspects—it’s about grappling with the very human dilemmas that accompany such endeavours. In the episode of Bridging the Gaps, I speak with Dr Erika Nesvold.

Dr Erika Nesvold is an astrophysicist who has worked as a researcher at NASA Goddard and the Carnegie Institution for Science. She is a developer for Universe Sandbox, a physics-based space simulator. She is a co-founder of the nonprofit organisation the JustSpace Alliance. Erika is the creator and host of the podcast Making New Worlds.

We began by discussing the significance of understanding the human aspect of space exploration. The book covers a wide variety of topics and in our discussion we touch upon ethical, social and legal complexities that must be understood and adopted or redeveloped for our extraterrestrial settlements. We also discuss the concepts and principles that can be borrowed from the laws and charters devised during humanity’s exploration of open seas and oceans. Central to our discussion is the importance of initiating a dialogue now to foster an understanding of how our humanity intersects with the challenges and opportunities presented by space exploration. This understanding, we discuss, is fundamental in shaping a future that upholds ethical principles and fosters social equity.

Complement this discussion with “A Traveller’s Guide to the Stars” with Physicist, Author and Nasa Technologist Les Johnson and then listen to “The Next 500 Years: Engineering Life to Reach New Worlds” with Professor Christopher Mason.

By |April 28th, 2024|Future, Podcasts, Research|
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“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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