“Working with AI: Real Stories of Human-Machine Collaboration” with Professor Thomas Davenport and Professor Steven Miller

Working with AI Reviewed at Bridging the Gaps

There is a widespread view that artificial intelligence is a job destroyer technical endeavour. There is both enthusiasm and doom around automation and the use of artificial intelligence-enabled “smart” solutions at work. In their latest book “Working with AI: Real Stories of Human-Machine Collaboration”, management and technology experts professor Thomas Davenport and professor Steven Miller explain that AI is not primarily a job destroyer, despite popular predictions, prescriptions, and condemnation. Rather, AI alters the way we work by automating specific tasks but not entire careers, and thus freeing people to do more important and difficult work. In the book, they demonstrate that AI in the workplace is not the stuff of science fiction; it is currently happening to many businesses and workers. They provide extensive, real-world case studies of AI-augmented occupations in contexts ranging from finance to the manufacturing floor.

In this episode of Bridging the Gaps I speak with professor Thomas Davenport and professor Steven Miller to discuss their fascinating research, and to talk through various case studies and real work use cases that they outline in the book. We discuss the impact of Artificial intelligence technologies on the job market and on the future of work. We also discuss future hybrid working environments where AI and Humans will work side by side.

Professor Thomas Davenport is a Distinguished Professor of Information Technology and Management at Babson College, a visiting professor at the Oxford University and a Fellow of the MIT Initiative on the Digital Economy. Steven Miller is Professor Emeritus of Information Systems at Singapore Management University.

We begin our discussion by looking at various aspects of the environments where AI and human workers work side by side, and then discuss the concept of Hybrid Intelligence. Then we talk about the challenges that organisations are faced with while developing and implementing Artificial Intelligence enabled technologies and solutions in enterprise environments. An important question that I raise during our discussion is, are the organisations ready for large scale deployment of AI solutions. The book is full of real world case studies and covers a wide variety of use cases. We delve into a number of these real world case studies and use cases. This has been a very informative discussion.

Complement this discussion with “The Technology Trap” and the Future of Work” with Dr Carl Frey and then listen to “Machines like Us: TOWARD AI WITH COMMON SENSE” with Professor Ronald Brachman

By |October 31st, 2022|Artificial Intelligence, Computer Science, Future, Podcasts, Technology|
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“Zero to Birth: How the Human Brain Is Built” with Professor William Harris

Zero to Birth reviewed on Bridging the Gaps

A single fertilised egg generates an embryo. Different cell types in this embryo develop into various organs of a new human being, including a new human brain. Everything starts with a single fertilised egg, and in the embryo, some embryonic cells develop into neural stem cells that construct the brain. By the time a baby is born, its brain is already made up of billions of precisely designed neurons that are connected by trillions of synapses to form a small, compact but incredibly powerful supercomputer. In his recent book “Zero to Birth: How the Human Brain Is Built” pioneering experimental neurobiologist professor William Harris takes the reader on an incredible journey to the very edge of creation, from the moment an egg is fertilised to every stage of a human brain’s development in the womb — and even a bit beyond. In this episode of Bridging the Gaps, I speak with Professor William Harris the process of how the brain is built.

William Harris is professor emeritus of anatomy at the University of Cambridge. He is the coauthor of Development of the Nervous System and Genetic Neurobiology and the co-editor of Retinal Development. He is a fellow of the Royal Society.

We begin by examining the evolutionary history of the brain, which spans billions of years and in the Proterozoic eon, when multicellular animals first descended from single-celled organisms, and then we discuss how the development of a fetal brain over the course of nine months reflects the brain’s evolution through the ages. We discuss the emergence of first neural stem cells and how the formation of the neural plate and then its progress to the neural tube give the first glimpses of the development of the brain in an embryo. We discuss in detail how cells divide and create neural stem cells and then how these stem cells start producing neurons. A fascinating topic that we then cover is how individual neurons form connections with other neurons. Professor Harris explains how comparative animal studies have been crucial to understanding what makes a human brain human, and how advances in science are assisting us in understanding many qualities that don’t manifest until later in life. This has been a fascinating discussion on an intriguing topic.

Complement this discussion with The Spike: Journey of Electric Signals in Brain from Perception to Action with Professor Mark Humphries and then listen to The Self-Assembling Brain” and the Quest for Artificial General Intelligence with Professor Peter Robin Hiesinger

By |October 15th, 2022|Biology, Neuroscience, Podcasts, Research|
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“The Case Against Reality” and The Hard Problem of Consciousness with Professor Donald Hoffman

What is the true nature of reality? Does the objective reality reported back by our senses paint a complete picture of the true reality? Is it possible that the world we see is not objective reality and it is just an interface to a deeper, true reality. In his book “The Case Against Reality: Why Evolution Hid the Truth from Our Eyes” cognitive scientist Donald Hoffman Challenges leading scientific theories that claim that our senses report back objective reality. He argues that while we should take our perceptions seriously, we should not take them literally. He presents the evolutionary concept of “Fitness Beats Truth” to demonstrate that evolution very probably moulded our minds for fitness rather than accuracy, resulting in the mismatch between “things-in-themselves” and our perceptions of them. In this episode of Bridging the Gaps I speak with professor Donal Hoffman; we discuss his “Interface Theory of Perception” and dig deep on latest research in cognitive science and perception, and how it relates to our understanding of the true nature of reality.

Donald Hoffman is a professor of Cognitive Sciences at the University of California, Irvine. He is a cognitive psychologist and popular science author. His research focuses on perception, evolution, and consciousness.

We begin by discussing the present understanding of the hard problem of consciousness. Then we talk about Hoffman’s view that all main scientific theories, such as Einstein’s theory, theories and our present understanding of Quantum Physics and the theory of natural selection, all inform us that our present approach of trying to understand reality is not working. I then ask him that why in his view we have evolved in a manner that we don’t see the real underlying reality and we just perceive a superficial realty. We then discuss in detail his theory and ideas about the nature of reality. We touch upon the question that do we live in a simulation. We also discuss Panpsychism. Finally I ask that how the research on the question of the true nature of reality should proceed.

Complement this discussion with From Consciousness to Synthetic Consciousness: From One Unknown to Another Unknown with David Chalmers and then listen to Why You Are Not Your Brain? A Conversation on Consciousness with Alva Noe.

By |July 19th, 2022|Neuroscience, Physics, Podcasts|
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