“Artificial Intelligence: A Guide for Thinking Humans” with Professor Melanie Mitchell

Recent developments in the field of Artificial Intelligence are fascinating as well as terrifying; there are extravagant promises as well as frustrating setbacks; there is great progress in narrowly focused AI applications, and there is lack of progress in the field of Artificial General Intelligence. In this episode of Bridging the Gaps I speak with professor Melanie Mitchell and we discuss the history, recent successes, huge expectations and emerging fears and frustrations in the field of Artificial Intelligence. We discuss fascinating and intriguing research that professor Melanie Mitchell discusses in her book “Artificial Intelligence: A Guide for Thinking Humans”.

Melanie Mitchell is a professor of complexity at the Santa Fe Institute in New Mexico. Her research focuses on genetic algorithms, conceptual abstraction, analogy-making and visual recognition in Artificial Intelligence Systems. Professor Mitchell originated the Santa Fe Institute’s Complexity Explorer project, an online learning resource for complex systems.

We begin our discussion by reviewing the history of this fascinating field and by discussing initial claims and hype that emerged at the start. We then discuss the transition from rule-based AI systems to machine learning approaches. We look into the successes of AI in narrowly defined task-based systems; we discuss the anomalies that emerge when the data is mildly changed. We then discuss the future development in this field and the challenges involved in making any meaningful progress towards Artificial General Intelligence and creating common sense in AI systems. The challenge of creating common sense seems similar to the challenge of finding and understanding dark matter in the field of physics, we discuss this. We look into the profound disconnect between the continuing hype and the actual achievements in AI, what the field has accomplished and how much further it has to go. We also discuss the approach of conceptual abstraction and incorporating analogy-making in AI systems. This has been a fascinating discussion about this ambitious and thought-provoking field.

Complement this discussion with “Artificial Intelligence: Fascinating Opportunities and Emerging Challenges with Professor Bart Selman and then listen to “2062: The World That AI Made” with Professor Toby Walsh

“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|

“2062: The World That AI Made” with Professor Toby Walsh

Professor Toby Walsh is a world leader in the field of artificial intelligence, and has spent his life dreaming about machines that might think. He is a Professor of AI at the University of New South Wales and leads a research group at Data61, Australia’s Centre of Excellence for ICT Research. In this episode of Bridging the Gaps Professor Toby Walsh discusses his latest book ““2062: The World That AI Made”.

By 2062 there will be huge developments in the field of Artificial Intelligence and some researchers believe that by that time we will have built machines as intelligent as us. But what will this future actually look like? When the quest to build intelligent machines has been successful, how will life on this planet unfold?

In 2062, Toby Walsh considers the impact AI will have on work, war, politics, economics, everyday human life and, indeed, human death. Will robots become conscious? Will automation take away jobs? Will we become immortal machines ourselves, uploading our brains to the cloud?

What lies in store for homo digitalis – the people of the not-so-distant future who will be living among fully functioning artificial intelligence? In “2062: The World That AI Made” Professor Toby Walsh describes the choices we need to make today to ensure that future remains bright.

Complement this with fascinating discussion on Artificial Intelligence with professor Bart Selman “Artificial Intelligence: Fascinating Opportunities and Emerging Challenges” and the impact of technology on the future of work and humanity by visiting “The Technology Trap” and the future of work with Dr Carl Frey.

By |April 10th, 2019|Artificial Intelligence, Computer Science, Future, Podcasts|