Artificial Intelligence: Fascinating Opportunities and Emerging Challenges with Professor Bart Selman

Research and development in the field of Artificial Intelligence is progressing at an amazing pace. These developments are moving beyond simple applications such as machine vision, autonomous vehicles, natural language processing and medical diagnosis. Future AI systems will be able to use reasoning to make decisions; will employ innovative models of non-human intelligence; will augment human intelligence through human centric AI Systems. These systems will enable us to discover solutions to scientific and social problems, and will enable us to understand the physical world around us that has never been possible up-to this point in time. In this episode of Bridging the Gaps, I speak with Professor Bart Selman to discuss these fascinating opportunities as well as emerging challenges in the field of Artificial Intelligence.

Bart Selman is a Professor of Computer Science at Cornell University. He is a Fellow of the American Association for Artificial Intelligence and a Fellow of the American Association for the Advancement of Science. Professor Bart Selman is the president-elect of The Association for the Advancement of Artificial Intelligence. We begin our conversation by going through some of the recent developments in the field of Artificial Intelligence and how far we are from achieving the goal of developing Artificial General Intelligence.

We discuss in detail artificial reasoning, non-human intelligence and human centric AI. We also discuss state of the art research on the topic of explainable AI. We then discuss challenges posed by applying research in the field of AI to develop systems such as autonomous weapons, weaponized AI and other similar and sensitive domains. This has been a fascinating discussion about cutting edge research in the field of Artificial Intelligence.

Compliment Professor Selman’s insights with equally fascinating discussion with Professor Toby Walsh “2062: The World That AI Made”.

By |August 14th, 2020|Artificial Intelligence, Computer Science, Podcasts|

“Dark Data: Why What You Don’t Know Matters” with Professor David Hand

In the era of big data and super-fast information capturing and processing systems, it is easy to imagine that we have all the information that lead to actionable insights, that we need to make good decisions. However, according to David Hand, Emeritus Professor of Mathematics and Senior Research Investigator at Imperial College London, the data we have are never complete. Just as much of the universe is composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. In his new book “Dark Data: Why What You Don’t Know Matters” Professor David Hand takes us on a fascinating and enlightening journey into the world of the data we don’t see.

As in his book “Brief Answers to the Big Questions” Stephen Hawking notes “No matter how powerful a computer you have, if you put lousy data in you will get lousy predictions out”, it is essential to understand anomalies and imperfections that a dataset may have. These imperfections may lead to incorrect and misleading insights.

The book “Dark Data: Why What You Don’t Know Matters” explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Full of real-life examples, from the Challenger shuttle explosion to complex financial frauds, the book outlines a practical taxonomy of the types of dark data that exist and the situations in which they can arise, and informs the readers how to recognize and control dark data. Professor David Hand guides us not only to be alert to the problems presented by the things we don’t know, but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions. Data is essential for decision making; the books shows us all how to reduce the risk of making bad decisions.

Complement this conversation with equally fascinating discussion on Artificial Intelligence with professor Bart Selman “Artificial Intelligence: Fascinating Opportunities and Emerging Challenges” and professor Toby Walsh “2062: The World That AI Made”.

By |March 11th, 2020|Artificial Intelligence, Computer Science, Podcasts|

“The Technology Trap” and the Future of Work with Dr Carl Frey

An intriguing set of questions that is being explored by researchers across the globe and is being discussed and brainstormed in various organisations and think tanks is: “what is the future of work”; “how forthcoming AI and Automation revolution will impact on the nature and structure of work”; and “what would be the impact of these changes on the fabric of society from social, economic and political perspectives”.

In a 2013 study “The Future of Employment: How Susceptible are Jobs to Computerisation?” researchers Dr Carl Benedikt Frey and Dr Michael Osborne made an important observation: about 47% jobs in the US will be lost to automation. Dr Carl Frey is the co-director of programme on technology and employment at Oxford Martin School at Oxford University. His research focuses on “how advances in digital technology are reshaping the nature of work and jobs and what that might mean for the future”. In 2016, he was named the 2nd most influential young opinion leader by the Swedish business magazine Veckans Affärer.

A recent book by Dr Carl Frey presents a thorough review of the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members. The title of the book is “The Technology Trap: Capital, Labour and Power in the Age of Automation”. The Industrial Revolution was a defining moment in history, but few grasped its enormous consequences at the time. This books demonstrates that the lessons of the past can help us to more effectively face the present and the forthcoming AI and automation revolution.
Dr Carl Frey shows the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating for large swaths of the population. Middle-income jobs withered, wages stagnated, the labour share of income fell, profits surged, and economic inequality skyrocketed. These trends, Frey documents, broadly mirror those in our current age of automation, which began with the Computer Revolution.

Just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. But Frey argues that this depends on how the short term is managed. The decisions that we make now and the policies that we develop and adopt now will have profound impact on the future of work and job market. In the nineteenth century, workers violently expressed their concerns over machines taking their jobs. The Luddite uprisings joined a long wave of machinery riots that swept across Europe and China. Today’s despairing middle class has not resorted to physical force, but their frustration has led to rising populism and the increasing fragmentation of society. As middle-class jobs continue to come under pressure, there’s no assurance that positive attitudes to technology will persist.

Dr Carl Frey joins me for this episode of bridging the Gaps. In this podcast we discuss the ideas that Dr Frey presents in this book. Before discussing the future of work, we look at the history of work and how the nature of work evolved through various ages and how did it impact the equality in the society. Dr Frey notes in his book that the age of inequality began with the Neolithic revolution; we discuss this in detail. We then discussed first and second industrial revolutions and the age of digital transformation. We also discuss the rise of politics of polarisation and finally we discuss the future of work. This has been a fascinating conversation with a thought leader, on a hugely important subject.

Complement this with discussions on Artificial Intelligence and the future of humanity by visiting “Artificial Intelligence: Fascinating Opportunities and Emerging Challenges” with professor Bart Selman and discussion with professor Toby Walsh “2062: The World That AI Made”.

By |October 22nd, 2019|Artificial Intelligence, Computer Science, Future, Knowledge, Podcasts|