About Dr Waseem Akhtar

Dr Waseem Akhtar is a Dublin based educator and academic. He holds a PhD in Computer Science from University College Dublin (UCD) and an MBA in Higher Education Management from the Institute of Education (IOE) at University College London (UCL). He is Head of Computing Science Faculty in Griffith College Dublin. Waseem is also known for his in-depth discussions on cutting edge research and emerging ideas with researchers and thought leaders from around the world, and for his engaging public lectures and presentations where he frequently explores multidisciplinary ideas by fusing diverse research topics. Waseem is also a radio broadcaster.

“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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“Design for a Better World: Meaningful, Sustainable, Humanity Centered” with Professor Don Norman

Design For A Better World reviewed at Bridging the Gaps

Has human behaviour pushed our world to the edge, especially the mistaken belief that the earth’s resources are infinite? And can a shift in human behaviour rescue us? The challenges we face, from collapsing social structures to the climate crisis, have been centuries in the making. It is immensely critical that we take immediate and decisive actions; we must transform ourselves to improve our circumstances. In his new book “Design for a Better World: Meaningful, Sustainable, Humanity Centered” Don Norman offers an insightful analysis of our missteps and provides a clear remedy for making things better. The book suggests that the pivotal factor for change lies in human behaviour. The book explores this through three main themes: meaning, sustainability, and humanity-centeredness. In this episode of Bridging the Gaps, I speak with professor Don Norman. We dig deep on these three themes and explore the ideas that a meaningful quality of life, rather than mere monetary gain, restructuring our lifestyles to enhance environmental protection, and adopting an inclusive approach that encompasses all of humanity, can empower us to address the challenges confronting us.

Don Norman is Distinguished Professor Emeritus of Cognitive Science and Psychology and founding director of the Design Lab at the University of California, San Diego. Business Week has named Norman one of the world’s most influential designers. He was an Apple Vice President, has been an advisor and board member for numerous companies, and has three honorary degrees. His numerous books have been translated into over 20 languages including “The Design of Everyday Things” and “Living with Complexity”.

We start off by examining the pervasive artificiality surrounding us. Misplaced and disjointed elements, such as non-native plants, high density concrete structures and other artefacts, contribute to environments saturated with artificial constructs. Furthermore, we delve into how our metrics of success are also influenced by this artificiality. We measure our success by using metrics that don’t encompass what really matters. This artificiality has consequently led to an unsustainable sociotechnical system. We touch upon the ramifications of distorted capitalism before delving deeply into the central themes of the book: meaning, sustainability, and humanity-centeredness. Exploring the human quest for significance, we discuss why a sense of meaning is essential for every aspect of our existence. Addressing sustainability, we discuss how to rectify the harm inflicted upon the ecosystem. Finally, we discuss a humanity-centered approach to crafting artefacts and lifestyles that offers a pathway to rectify our current predicament. This discussion has been both enlightening and invigorating.

Complement this discussion with “Philosophy of Technology” with Professor Peter-Paul Verbeek.
And then listen to “The Good-Enough Life” with Dr Avram Alpert.

By |March 6th, 2024|Future, Sustainability, 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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