In this episode we discuss the new generation of Chinese science fiction with two of the genres most brilliant translators, editors, writers and researchers. They’ve just published The Way Spring Arrives and Other Stories, an anthology of science fiction written by Chinese women and non-binary writers that aims to overwrite stereotypes about who Chinese sf writers are and what they write about. Regina is a SF writer who works for the Co-Futures project at the University of Oslo and Emily is a writer and translator doing a PhD at Yale in East Asian Languages and Literature. 

In this episode we talk to Bridget Boakye, the artificial intelligence (AI) policy leader at the Tony Blair Institute for Global Change. Bridget is an expert in how AI is impacting Africa and the major challenges in implementing AI use across the continent. She tells us about what good technology means in the contexts in which she works and the benefits and drawbacks of Google and other Big Tech companies operating in Africa. 

We all know about Microsoft Excel and Outlook, but did you know about the kinds of tech they develop in and sell to the Global South? These include escape management system for jails, police cars inbuilt with sensor data, and software that supports facial recognition systems. To tell us more about this, we talk to Dr Michael Kwet, a visiting fellow of the Information Society project at Yale Law School and a postdoctoral researcher at the Centre for Social Change at the University of Johannesburg. His extensive investigation of how Global South economies are increasingly dependent on Big Tech companies like Microsoft shows that they get bad deals when they hand over valuable raw materials and labour. They end up seeing little of the vast wealth that Big Tech amasses through this unfair exchange. His work has focuses on South Africa, where economies, schools and prisons rely on Microsoft software and services. 

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 problem, and why Queer in AI rejected Google sponsorship. 

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, including its privileging of human intelligence above all other species, its assumption that genocides are less important than mass extinction events, and its inability to be historical when speculating about the future. They argue that if we really want to make the world and its technologies less risky, we should instead encourage cooperation, and participation in social and ecological issues. 

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 confirms your hypothesis, or when you’re confronted with some anomalies in your dataset that threaten a beautiful and otherwise perfect theory. But Lorraine also reminds us that the desire for objectivity can itself be an emotion, as it was when Victorian scientists expressed their heroic masculine self-restraint. She also explains why we should only be using AI for the parts of our world which are actually predictable, and how it’s not just engineers who debug algorithms, now that task is being outsourced to us - the consumers - as we’re the ones who are now forced to flag downstream effects when things go wrong.