As artificial intelligence takes on a growing role in decisions about education, jobs, housing, loans, healthcare, and criminal justice, concerns about fairness have become urgent. Because AI systems are trained on data that reflect historical inequalities, they often reproduce or even amplify those disparities. In his book “AI Fairness: Designing Equal Opportunity Algorithms” Professor Derek Leben draws on classic philosophical theories of justice—especially John Rawls’s work—to propose a framework for evaluating the fairness of AI systems. This framework offers a way to think systematically about algorithmic justice: how automated decisions can align with ethical principles of equality and fairness. The book examines the trade-offs among competing fairness metrics and shows that it is often impossible to satisfy them all at once. As a result, organizations must decide which definitions of fairness to prioritize, and regulators must determine how existing laws should apply to AI. In this episode of Bridging the Gaps, I speak with Derek Leben.
Derek Leben is Professor of Business Ethics at the Tepper School of Business at Carnegie Mellon University. As founder of the consulting group Ethical Algorithms, he has worked with governments and companies to develop policies on fairness and benefit for AI and autonomous systems.
I begin our discussion by asking Derek what “AI” means in the context of his work and how fairness fits into that picture. From there, we explore why fairness matters as AI systems increasingly influence critical decisions about employment, education, housing, loans, healthcare, and criminal justice.
We discuss how historical inequalities in training data lead to biased outcomes, giving listeners a deeper understanding of the problem. While some view AI fairness as a purely technical issue that engineers can fix, the book argues that it is also a moral and political challenge—one that requires insights from philosophy and ethics. We then examine the difficulty of balancing multiple fairness metrics, which often cannot all be satisfied simultaneously, and discuss how organizations might prioritize among them. Derek explains his theory of algorithmic justice, inspired by John Rawls’s philosophy, and we unpack its key ideas.
Later, we touch on questions of urgency versus long-term reform, exploring the idea of longtermism, and discuss the tension between fairness and accuracy. Finally, we consider how businesses can balance commercial goals with their broader social responsibilities.
Overall, it is an informative and thought-provoking conversation about how we can make AI systems more just.
Complement this discussion with ““The Line: AI and the Future of Personhood” with Professor James Boyle” available at:
https://www.bridgingthegaps.ie/2025/04/the-line-ai-and-the-future-of-personhood-with-professor-james-boyle/
And then listen to “Reclaiming Human Intelligence and “How to Stay Smart in a Smart World” with Prof. Gerd Gigerenzer” available at:
https://www.bridgingthegaps.ie/2023/04/reclaiming-human-intelligence-and-how-to-stay-smart-in-a-smart-world-with-prof-gerd-gigerenzer/
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As artificial intelligence takes on a growing role in decisions about education, jobs, housing, loans, healthcare, and criminal justice, concerns about fairness have become urgent. Because AI systems are trained on data that reflect historical inequalities, they often reproduce or even amplify those disparities. In his book “AI Fairness: Designing Equal Opportunity Algorithms” Professor Derek Leben draws on classic philosophical theories of justice—especially John Rawls’s work—to propose a framework for evaluating the fairness of AI systems. This framework offers a way to think systematically about algorithmic justice: how automated decisions can align with ethical principles of equality and fairness. The book examines the trade-offs among competing fairness metrics and shows that it is often impossible to satisfy them all at once. As a result, organizations must decide which definitions of fairness to prioritize, and regulators must determine how existing laws should apply to AI. In this episode of Bridging the Gaps, I speak with Derek Leben.
Derek Leben is Professor of Business Ethics at the Tepper School of Business at Carnegie Mellon University. As founder of the consulting group Ethical Algorithms, he has worked with governments and companies to develop policies on fairness and benefit for AI and autonomous systems.
I begin our discussion by asking Derek what “AI” means in the context of his work and how fairness fits into that picture. From there, we explore why fairness matters as AI systems increasingly influence critical decisions about employment, education, housing, loans, healthcare, and criminal justice.
We discuss how historical inequalities in training data lead to biased outcomes, giving listeners a deeper understanding of the problem. While some view AI fairness as a purely technical issue that engineers can fix, the book argues that it is also a moral and political challenge—one that requires insights from philosophy and ethics. We then examine the difficulty of balancing multiple fairness metrics, which often cannot all be satisfied simultaneously, and discuss how organizations might prioritize among them. Derek explains his theory of algorithmic justice, inspired by John Rawls’s philosophy, and we unpack its key ideas.
Later, we touch on questions of urgency versus long-term reform, exploring the idea of longtermism, and discuss the tension between fairness and accuracy. Finally, we consider how businesses can balance commercial goals with their broader social responsibilities.
Overall, it is an informative and thought-provoking conversation about how we can make AI systems more just.
Complement this discussion with ““The Line: AI and the Future of Personhood” with Professor James Boyle” available at:
https://www.bridgingthegaps.ie/2025/04/the-line-ai-and-the-future-of-personhood-with-professor-james-boyle/
And then listen to “Reclaiming Human Intelligence and “How to Stay Smart in a Smart World” with Prof. Gerd Gigerenzer” available at:
https://www.bridgingthegaps.ie/2023/04/reclaiming-human-intelligence-and-how-to-stay-smart-in-a-smart-world-with-prof-gerd-gigerenzer/
“The Nobel Prize and the Public Image of Science” with Professor Massimiano Bucchi
Bridging the Gaps: A Portal for Curious Minds
1 hour 8 minutes 51 seconds
2 months ago
“The Nobel Prize and the Public Image of Science” with Professor Massimiano Bucchi
In a world where scientific work often feels distant and difficult to grasp, the Nobel Prize makes science visible and understandable in a unique way. It is the most recognized and prestigious award for individual scientific achievement, giving a human face to great discoveries and turning them into powerful stories. The winners could be global figures like Albert Einstein or little-known doctors working in remote towns. Some prizes went to breakthroughs later proven wrong, and many names have faded from memory. Yet, as Massimiano Bucchi shows, the Nobel Prize shaped how people saw science throughout the twentieth century—an image that continues to influence us in surprising ways today.
In his book Geniuses, Heroes, and Saints: The Nobel Prize and the Public Image of Science, Professor Bucchi tells the story of how the Nobel Prize transformed science into something more than a technical field. It became an epic human pursuit, shaped by history and shared with the public. In this episode of Bridging the Gaps, I speak with Professor Massimaino Bucchi.
Professor Massimiano Bucchi is a leading scholar in the field of science communication and Professor of Science and Technology in Society at the University of Trento. He is the former editor of Public Understanding of Science and the author of books, including Newton's Chicken and the co-edited Handbook of Public Communication of Science and Technology.
We began the conversation with the three main narratives outlined in the book that define the Nobel Prize. First, the scientist as genius—a creative visionary, a brilliant intellect, often portrayed as a solitary figure with a romantic aura. Second, the scientist as national hero—a symbol of international rivalry played out in a peaceful, rational contest. Third, the scientist as saint—a moral exemplar celebrated for humility, modesty, and complete devotion to science.
From there, we traced the history of the Nobel, its origins, and its early role in European society. We examined the first laureates, notable controversies, and famous recipients—including the story of Einstein’s long-delayed award and the “interesting” aspects of the work that finally earned him the prize.
We also explored the Nobel’s impact on public perceptions of science, the ceremonial “royal touch” that surrounds it, and how the prize might evolve in the twenty-first century. We then discuss science communication more broadly.
Overall, it was a rich and fascinating discussion.
Complement this discussion with ““Sharing Our Science: How to Write and Speak STEM” with Professor Brandon Brown” available at:
https://www.bridgingthegaps.ie/2024/02/sharing-our-science-how-to-write-and-speak-stem-with-professor-brandon-brown/
And then listen to “On Public Communication of Science and Technology with Professor Bruce Lewenstein” available at:
https://www.bridgingthegaps.ie/2022/02/on-public-communication-of-science-and-technology-with-professor-bruce-lewenstein/
Bridging the Gaps: A Portal for Curious Minds
As artificial intelligence takes on a growing role in decisions about education, jobs, housing, loans, healthcare, and criminal justice, concerns about fairness have become urgent. Because AI systems are trained on data that reflect historical inequalities, they often reproduce or even amplify those disparities. In his book “AI Fairness: Designing Equal Opportunity Algorithms” Professor Derek Leben draws on classic philosophical theories of justice—especially John Rawls’s work—to propose a framework for evaluating the fairness of AI systems. This framework offers a way to think systematically about algorithmic justice: how automated decisions can align with ethical principles of equality and fairness. The book examines the trade-offs among competing fairness metrics and shows that it is often impossible to satisfy them all at once. As a result, organizations must decide which definitions of fairness to prioritize, and regulators must determine how existing laws should apply to AI. In this episode of Bridging the Gaps, I speak with Derek Leben.
Derek Leben is Professor of Business Ethics at the Tepper School of Business at Carnegie Mellon University. As founder of the consulting group Ethical Algorithms, he has worked with governments and companies to develop policies on fairness and benefit for AI and autonomous systems.
I begin our discussion by asking Derek what “AI” means in the context of his work and how fairness fits into that picture. From there, we explore why fairness matters as AI systems increasingly influence critical decisions about employment, education, housing, loans, healthcare, and criminal justice.
We discuss how historical inequalities in training data lead to biased outcomes, giving listeners a deeper understanding of the problem. While some view AI fairness as a purely technical issue that engineers can fix, the book argues that it is also a moral and political challenge—one that requires insights from philosophy and ethics. We then examine the difficulty of balancing multiple fairness metrics, which often cannot all be satisfied simultaneously, and discuss how organizations might prioritize among them. Derek explains his theory of algorithmic justice, inspired by John Rawls’s philosophy, and we unpack its key ideas.
Later, we touch on questions of urgency versus long-term reform, exploring the idea of longtermism, and discuss the tension between fairness and accuracy. Finally, we consider how businesses can balance commercial goals with their broader social responsibilities.
Overall, it is an informative and thought-provoking conversation about how we can make AI systems more just.
Complement this discussion with ““The Line: AI and the Future of Personhood” with Professor James Boyle” available at:
https://www.bridgingthegaps.ie/2025/04/the-line-ai-and-the-future-of-personhood-with-professor-james-boyle/
And then listen to “Reclaiming Human Intelligence and “How to Stay Smart in a Smart World” with Prof. Gerd Gigerenzer” available at:
https://www.bridgingthegaps.ie/2023/04/reclaiming-human-intelligence-and-how-to-stay-smart-in-a-smart-world-with-prof-gerd-gigerenzer/
