The Good Robot

In this episode we speak to Abeba Birhane, senior research fellow at Mozilla, about how cognition extends beyond the brain, why why we need to turn questions like ‘why aren't there enough black women in computing’ on their head and actually transform computing cultures, and why human behaviour is a complex adaptive system that can’t always be modelled computationally. 

In this episode we talk to Arjun Subramonian, a Computer Science PhD student at UCLA conducting machine learning research and a member of the grassroots organisation Queer in AI. In this episode we discuss why they joined Queer in AI, how Queer in AI is helping build artificial intelligence directed towards better, more inclusive, and queer futures, why ‘bias’ cannot be seen as a purely technical...

In this episode we chat to Su Lin Blodgett, a researcher at Microsoft Research in Montreal, on whether you can use AI to measure discrimination, why AI can never be de-biased, and how AI shows us that categories like gender and race are not as clear cut as we think they are.

Ever worried that AI will wipe out humanity? Ever dreamed of merging with AI? Well these are the primary concerns of transhumanism and existential risk, which you may not have heard of, but whose key followers include Elon Musk and Nick Bostrom, author of Superintelligence . But Joshua Schuster and Derek Woods have pointed out that there are serious problems with transhumanism’s dreams and fears,...

Science fiction writer Chen Qiufan ( Stanley Chen), author of Waste Tide, discusses the feedback loop between science fiction and innovation, what happened when he went to live with shamans in China, how science fiction can also be a psychedelic, and why it’s significant that linear time arrived from the West and took over ideas of circular or recurring time between Chinese dynasties. 

In this episode, the historian of science Lorraine Daston explains why science has long been allergic to emotion, which is seen to be the enemy of truth. Instead, objective reason is science’s virtue. She explores moments where it’s very difficult for scientists not to get personally involved, like when you’re working on your pet hypothesis or theory, which might lead you to select data that confi...

How should governments collect personal data? In this episode, we talk to Dr Kevin Guyan about the census, and the best ways of asking people to identify themselves. We discuss why surveys that you fill in by hand offer less restrictive options for self-identification than online forms, and how queer communities are not just identified but produced through the counting of a census. As Kevin remind...

In this episode we speak to two brilliant professors here at Cambridge, Mónica Moreno Figueroa and Ella McPherson about a data project they launched at the University of Cambridge to track everyday racism in the university. We discuss using technology for social good without being obsessed with the technology itself and the importance of tracking how racism dehumanises people, confuses us about ea...

In this episode, we talk to Louise Amoore, professor of political geography at Durham and expert in how machine learning algorithms are transforming the ethics and politics of contemporary society. Louise tells us how politics and society have shaped computer science practices. This means that when AI clusters data and creates features and attributes, and when its results are interpreted, it refle...

In this episode we talk to Sarah Franklin, a leading figure in feminist science studies and the sociology of reproduction. In this tour de force of IVF ethics and feminism through the ages, Sarah discusses ethical issues in reproductive technologies, how they compare to AI ethics, how feminism through the ages can help us, Shulamith Firestone’s techno-feminist revolution, and the violence of anti-...

In this episode we chat to Michelle N. Huang, Assistant Professor of English and Asian American literature at Northwestern University. Chatting with Michelle is bittersweet, as we think collectively together about anti-Asian racism and how it intersects with histories and representations of technological development in the context of intensified violence against Asian American and Asian diaspora c...

In this episode we talk to Sareeta Amrute, Affiliate Associate Professor at the University of Washington who studies race, labour, and class in global tech economies. Sareeta discusses happened when Rihanna and Greta Thunberg got involved in the Indian farmers protests; how race has wound up in algorithms as an indicator of what products you might want to buy; how companies get out of being respon...

In this episode Sophie, author of Full Surrogacy Now and self-defined wayward Marxist, talks about defining good technology for the whole of the biosphere, why the purity of the human species has always been contaminated by our animal and technological origins, why nature is much, much stranger than we think, what that means for the lambs that are now being grown in artificial wombs, and why techn...

In this episode we chat to Karen Hao, a prominent tech journalist who focuses on the intersections of AI, data, politics and society. Right now she’s based in Hong Kong as a reporter for the Wall Street Journal on China, tech and society; before this, she conducted a number of high profile investigations for the MIT tech review. In our interview we chat about her series on AI colonialism and how t...

In the race to produce the biggest language model yet, Google has now overtaken Open AI’s GPT-3 and Microsoft’s T-NLG with a 1.6 trillion parameter model. In 2021, Meg Mitchell was fired from Google, where she was co-founder of their Ethical AI branch, in the aftermath of a paper she co-wrote about why language models can be harmful if they’re too big. In this episode Meg sets the record straight....

In this episode, we speak to Soraj Hongladarom, a professor of philosophy and Director of the Center for Science, Technology, and Society at Chulalongkorn University in Bangkok. Soraj explains what makes Buddhism a unique and yet appropriate intervention in AI ethics, why we need to aim for enlightenment with machines, and whether there is common ground for different religions to work together in...

In this episode we chat to Os Keyes, an Ada Lovelace fellow and adjunct professor at Seattle University, and a PhD student at the University of Washington in the department of Human Centered Design & Engineering. We discuss everything from avoiding universalism and silver bullets in AI ethics to how feminism underlies Os’s work on autism and AI and automatic gender recognition technologies.

In this episode, we talk to Dr Alex Hanna, Director of Research at the Distributed AI Research Institute which was founded and directed by her ex-boss at Google Dr Timnit Gebru. Previously a sociologist working on ethical AI at Google and now a superstar in her own right, she tells us why Google’s attempt to be neutral is nonsense, how the word good in ‘good tech’ allows people to dodge getting po...

In this episode we chat to Virginia Dignum, Professor of Responsible Artificial Intelligence at the University of Umeå where she leads the Social and Ethical Artificial Intelligence research group. We draw on Dignum’s experience as an engineer and legislator to discuss how any given technology might not be good or bad, but is never valueless; how the public can participate in conversations around...

In this episode, we talk to Blaise Agüera y Arcas, a Fellow and Vice President at Google research and an authority in computer vision, machine intelligence, and computational photography. In this wide ranging episode, we explore why it is important that the AI industry reconsider what intelligence means and who possesses it, how humans and technology have co-evolved with and through one another, t...

In this episode, we talk to Dr. Kate Chandler, Assistant Professor at Georgetown and a specialist on drone warfare. We recorded this interview the day that Russia invaded Ukraine, which reminded us of just how urgent a task it is to rethink the relationship between tech innovation and warfare. As Kate explains, drones are more than just tools, they’re also intimately tied to political, economic an...

In this episode, we chat to Meryl Alper, Associate Professor of Communication Studies at Northeastern University. We discuss histories of technological invention by disabled communities, the backlash against poor algorithmically transcribed captions or ‘craptions’, what it actually means for a place or a technology to be accessible to disabled communities with additional socio-economic constraints...

In this episode, we chat with Professor Wendy Chun, who is Simon Fraser University's Canada 150 Research Chair in New Media. As both an expert in Systems Design Engineering and English Literature, her extraordinary analysis of contemporary digital media bridges the humanities and STEM sciences to think through some of the most pressing technical and conceptual issues in technology today.  Wen...

In this episode, we chat to Dr Leonie Tanczer, a Lecturer in International Security and Emerging Technologies at UCL and Principle Investigator on the Gender and IoT project.  Leonie discusses why online safety and security are not the same when it comes to protection online; how to identify bad actors while protecting people’s privacy; how we can use ‘threat modelling’ to account for and envision...

In this episode we chat to Professor Jason Edward Lewis, the University Research Chair in Computational Media and the Indigenous Future Imaginary at Concordia University in Montreal. Jason is Cherokee, Hawaiian and Samoan and an expert in indigenous design in AI. He’s the founder of Obx Labs for Experimental Media and the co-director of a number of research groups such as Aboriginal Territories in...