“Philosophy of Information” and “Ethics of Information” with Professor Luciano Floridi

Information is a crucial concept. Its significance is evident by the fact that the present era is labelled as the information age. An intriguing question is: What is information? Although information is always around us, in the realm of digital artefacts and connectivity as well as in biological entities and processes, it is still an elusive concept. This is perhaps the hardest and most central problem that is the focus of a new area of research known as philosophy of information. This episode of Bridging the Gaps focuses on philosophy of information, and touches upon a number of relevant concepts. I speak with professor Luciano Floridi who explains what is philosophy of information, why it matters, and systematically unpacks and thoroughly explains a number of fascinating and relevant concepts for our listeners.

Professor Luciano Floridi is a Professor of Philosophy and Ethics of Information at the University of Oxford. He is also the Director of the Digital Ethics Lab of the Oxford Internet Institute. He is Faculty Fellow of the Alan Turing Institute and Chair of its Data Ethics Group. He is an Adjunct Professor of the Department of Economics, American University, Washington D.C. His research interests include the philosophy of Information, information and computer ethics, and the philosophy of technology. His other research interests include Epistemology, Philosophy of Logic, and the History and Philosophy of Scepticism.

In a recent presentation professor Luciano Floridi describes philosophy of information as a “philosophy of our time”, and a “philosophy for our time”. I start our conversation by asking professor Floridi to unpack this definition for our listeners and explain this description of the philosophy of information. An interesting point that we discuss is how did ancient philosophers deal with the concept of information and do we find any philosophical discourse about information in ancient times? We then move onto concepts such as conceptual nature of information, data grounding problem and meaning and truth. We discuss in detail the concept of “Level of Abstraction”.

Professor Floridi discusses an interesting concept in his publications, that is the concept of “Informational Structural Realism” and he makes an important observation that a significant consequence of Informational Structural Realism is that the ultimate nature of reality is informational. This is an intriguing statement. Professor Floridi explains this statement and expands on what he means by “the ultimate nature of reality is informational”. We then move on and discuss in detail, immensely important concept of ethics of information. I then invite professor Floridi to share with our listeners details of the research projects that he has been working on recently.

Before closing our discussion we discuss three very interesting points: describing philosophy as a mechanism to design and engineer concepts; researching open questions; and tackling the view held by some that philosophy is dead. This has been a thoroughly informative, hugely educative and immensely interesting conversation.

Complement professor Florid’s views with intriguingly informative discussion with Dr Carl Frey “The Technology Trap” and the future of work.

By |July 5th, 2020|Information, Philosophy, Podcasts|
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The Evolution of Knowledge and Rethinking Science for The Anthropocene with Professor Jürgen Renn

Most history of science publications narrowly focus on specific periods in human history, or particular disciplines of scientific discovery, or small sets of scientists and philosophers. However there is a view that history of science can be better understood against the background of a history of knowledge including not only theoretical but also intuitive and practical knowledge. This can be further broadened by including cognitive, material and social dimensions of knowledge. Studying how knowledge structures are formed and evolve as knowledge spreads should further enrich our understanding of development and progress of science and technology. In his new book “ The Evolution of Knowledge: Rethinking Science for the Anthropocene” Jürgen Renn presents a new way of thinking about the history of science and technology, one that offers a grand narrative of human history in which knowledge serves as a critical factor of cultural evolution.

Jürgen Renn is a director at the Max Planck Institute for the History of Science in Berlin, where, together with his group, he researches structural changes in systems of knowledge. Jürgen Renn is honorary professor for History of Science at both the Humboldt-Universität and the Freie Universität Berlin. He is currently serving as Chairperson of the Humanities Sciences Section of the Max Planck Society.

In this book Jürgen Renn examines the role of knowledge in global transformations going back to the dawn of civilization while providing vital perspectives on the complex challenges confronting us today in the Anthropocene—this new geological epoch shaped by humankind. He reframes the history of science and technology within a much broader history of knowledge, analyzing key episodes such as the evolution of writing, the emergence of science in the ancient world, the Scientific Revolution of early modernity, the globalization of knowledge, industrialization, and the profound transformations wrought by modern science. He investigates the evolution of knowledge using an array of disciplines and methods, from cognitive science and experimental psychology to earth science and evolutionary biology. The result is an entirely new framework for understanding structural changes in systems of knowledge—and a bold new approach to the history and philosophy of science.

In this episode of Bridging the Gaps, I speak with professor Jürgen Renn, one of today’s preeminent historians of science. We discuss fascinating research that he presents in The Evolution of Knowledge. We discuss the origin, evolution and spread of knowledge, and other insights that Jürgen Renn discusses in this thorough book.

Complement this interesting discussion with fascinating conversation “Origin of Mathematics and Mathematical Thinking with Dr Keith Devlin” and then listen to “Robots, Artificial Life and Technology Imagined by the Ancients” with Adrienne Mayer.

By |June 2nd, 2020|Information, Knowledge, Podcasts|
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“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|
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