If we put a price on nature is everything up for sale? And if we don’t, is everything up for grabs? We first discuss valuing nature from a philosophical perspective before moving to the question of putting a monetary value on nature. Amongst others, we talk about the Dasgupta review which proposes to include biodiversity in our economic accounting and argue about the pros and cons of doing so.

In this episode Karl and Roze interview Ed Hughes from Google’s DeepMind. They chat about a recent paper* co-written by Ed on Cooperative AI and investigate the following questions: What is cooperative AI and why is it of importance? Further, what are the so-called capabilities of cooperative AI? Finally, should humanity be afraid of this new approach, or will it beneficial for society?

*For those interested, the paper can be found here: https://arxiv.org/abs/2012.08630

In this third episode of the series on Artificial Intelligence (AI) at the Philosophy Exchange, Roze and Karl continue the conversation on values with Demetra Brady who was previously featured in the second episode. They chat on i) why some are concerned about AI systems, ii) what the current approach to AI ethics is from a theoretical and practical viewpoint, and iii) how virtue theory might contribute to AI ethics.

In this new series, we interview PhD students and young academics about a recently published papers. In today's episode Jakob interviews University of Sydney's Walter Veit on his paper "Model Diversity and the Embarrassment of the Riches". Using the discussion on model pluralism in economics which followed Dani Rodrik‘s "Economics Rules", he argues that model pluralism as a thesis about the relationship between science and nature undermines the very idea of a general model selection framework for policy making. The paper can be found under: https://doi.org/10.1080/1350178X.2021.1898660

In this episode we discuss inference to the best explanation (IBE), its difference from induction and deduction, as well as its several applications in science and philosophy. The talk then naturally moves to reflections upon what an explanation is, and what are the values that come into play when one assesses the explanatory strength of scientific hypotheses.

What can philosophy and economics learn from each other? Despite close historical connections, the two disciplines have now largely diverged. Our conversation focuses on how insights from moral philosophy can enhance welfare economics, how philosophy of science can make experimental economics more robust, and why following economics’ lead in formalizing arguments with mathematics might be a good idea for philosophy.

In this second episode of the series on Artificial Intelligence (AI) at the PhilExchange, Karl and Roze interview Dr. Rune Nyrup and current Master Student Demetra Brady who are both affiliated at the Leverhulme's Centre for the Future of Intelligence at the University of Cambridge. They chat about the Centre itself, the value-ladenness of AI and the importance of informed consent in supposedly opaque and complex AI systems.

In this inaugural episode of the Philosophy Exchange Interview series two PXchange members chat with Liam Kofi Bright, an assistant professor from the London School of Economics, about his life and work in academia. They chat about his current work, tips for aspiring and current PhD students and Liam's personal experience in academia. Listen to the end for the rapid fire questions!

What are your favorite philosophical books, movies or tv-shows? In today's episode we chat about the Matrix, Ayn Rand's Anthem, the Harry Potter series, and other popular pieces of fiction portraying philosophical ideas such as reality, political ideologies, and time travel.

Roze and Karl from Philosophy Exchange introduce, in this episode, our new series on Artificial Intelligence (AI). To explore AI, they begin by considering ‘weak’ versus ‘strong’ intelligence as well as ‘general’ versus ‘narrow’ intelligence. Karl then transitions to explain the famous ‘Turing Test’ by which an artificial intelligence system is tested for general intelligence. Roze concludes by considering the ‘Chinese Room’ thought experiment, which is itself a reply to the Turing Test.