“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|
Read More

Augmented Thinking: The New Convergence of Art, Technology, and Science with Professor Julio Ottino

We live in an age of increasing complexity and uncertainty. We live in a time when humanity faces extremely complex challenges. Our ability, or lack thereof, to create solutions to such extremely complicated challenges may determine our long-term survival as a civilization. The question is: is our existing style of thinking adequate, or do we require a new style of thinking in order to innovate and lead into the future. In their recent book Julio Ottino and Bruce Mau make a case for “The Nexus”, a radically new way of thinking — one in which art, technology, and science converge to expand our creativity and augment our insight. In this episode or Bridging the Gaps I speak with Julio Ottino who explains “the Nexus” and guides us how to embrace the powerful idea of complementarity, where opposing extremes coexist. We discuss how blurring the lines between the three major realms of human creation — art, technology, and science — results in a significant expansion of thinking spaces and a richness of potential ideas.

Julio Ottino is Dean of Engineering and Applied Sciences, and a professor of Chemical and Biological Engineering at Northwestern University, in Illinois. He is also the founding co-director of Northwestern University’s Institute on Complex Systems. He is a thought leader, author, artist, and internationally recognized researcher in chaos theory and complex systems whose work has been featured in “Nature”, “Science”, and “Scientific American”.

We begin our discussion by looking back at the time before the divergence of disciplines and how key figures in science immensely benefited from talents and skills in a variety of fields. Then we talk about how, when, and why the disciplines diverged. We delve into the concept of “the Nexus” and discuss whole-brain thinking. The book is jam-packed with wonderful photographs and diagrams. I ask Professor Ottino to describe the process that he followed to write this book. This has been a wonderful discussion.

Complement this discussion with Asking Better Questions for Creative Problem Solving, Innovation and Effective Leadership with Hal Gregersen and with “Learning How to Learn”: Techniques to Help You Learn with Dr Barbra Oakley and then listen to Multiple Intelligences, Future Minds and Educating The App Generation: A discussion with Dr Howard Gardner

By |June 27th, 2022|Knowledge, Podcasts, Research, Technology|
Read More

“Machines like Us: TOWARD AI WITH COMMON SENSE” with Professor Ronald Brachman

Machines Like us reviewed on Bridging the Gaps

There is a consensus among the researchers in the field of artificial intelligence and machine learning that today’s artificial intelligence systems are narrowly focused, are designed to tackle specialised tasks and cannot operate in general settings. An important feature of the human brain that enables us to operate in general settings, and in unfamiliar situations is our common sense. In their new book “Machines like Us:
TOWARD AI WITH COMMON SENSE” Hector Levesque and Ronald Brachman explain “why current AI systems hopelessly lack common sense, why they desperately need it, and how they can get it”. In this episode of Bridging the Gaps, I speak with Professor Ronald Brachman, one of the authors of this book. We discuss various topics covered in the book and explore the question, how we can create artificial intelligence with broad, robust common sense rather than narrow, specialised expertise.

Professor Ron Brachman is the director of the Jacobs Technion-Cornell Institute and is a professor of computer science at Cornell University. Previously, he was the Chief Scientist of Yahoo! and head of Yahoo! Labs. Prior to that, he was the Associate Head of Yahoo! Labs and Head of Worldwide Labs and Research Operations.

We start off with a detailed discussion about the progress that we have made in recent decades, in developing narrowly focused and task oriented artificial intelligence systems. Some of these systems outperform humans; however we do acknowledge and discuss the need for developing artificial intelligence systems that can operate in general settings. We discuss the concept of artificial general intelligence and explore how understanding “human common sense” and equipping AI with common sense is an extremely important milestone in our journey toward developing artificial general intelligence. We discuss the challenge of developing a clear and thorough understanding of the nature and working of human common sense. We explore how “common sense” might be modelled and incorporated in future artificial intelligence systems. We then discuss the future of artificial general intelligence.

Complement this discussion with Artificial Intelligence: A Guide for Thinking Humans” with Professor Melanie Mitchell and 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

By |June 4th, 2022|Artificial Intelligence, Computer Science, Future, Podcasts, Research, Technology|
Read More