In this episode, Tara Fickle, an associate professor of Asian American studies, delves into the intersection of race and gaming, introducing the concept of ludo-orientalism. She explores how racial stereotypes shape perceptions of Asian gamers and discusses the role of gender in e-sport culture.

Edited by: Meibel Dabodabo

In this episode, Tomasz Hollanek argues that design is central to AI ethics. We discuss what role designers should play in AI ethics, the significance of AI literacy, and the responsibility of journalists in reporting on AI technologies.

Reading List:

• Leverhulme Center for the Future of Intelligence
• Donal Norman's The Design of Everyday Things
• Anthony Dunne and Fiona Raby's innovations in design theory,
• Aisha Sobey's Social AI Policy
• Philip Agre's critical technical practice
• High-Risk EU AI Act Toolkit,
• AI Act Article 4

In this episode, we talk to Beryl Pong, UKRI Future Leaders Fellow at the University of Cambridge, where she leads the Centre for Drones and Culture. Beryl reflects on what it means to think about drones as “good” or “ethical” technologies and how it can be assessed through its socio-political context. Beryl examines the dual nature of drones, looking at both their humanitarian uses and the ethical implications of their deployment in civilian life. The discussion also touches on the aesthetics of drones and their representation in popular culture, concluding with a reflection on drone light shows as a new form of cultural expression.

In this episode, Amy Gaeta, a researcher at the Centre for Drones and Culture and the Leverhulme Centre for the Future of Intelligence, discusses the how drones both uphold and subvert traditional masculine norms and the implications of their use in various contexts, from hobbyist communities to pornography. The conversation explores the complexities of gender dynamics in technology and the potential for systemic change in societal perceptions.

Edited by: Meibel Dabodabo

In this episode, Aisha Sobey, a research fellow at the Leverhulme Centre for the Future of Intelligence, explores how anti-fat bias shapes our digital lives. She discusses its effects on health technologies, social media, and generative AI, and explains why anti-fatness must be seen as a systemic issue. The conversation also highlights how ideas from fat liberation can help create more inclusive and fair technological design.

In this episode, Felienne Hermans, a professor of computer science education, discusses the intersection of feminism and programming. She shares her experiences in designing programming languages, particularly Hedy, which supports 70 languages, including Arabic. The conversation explores the challenges of linguistic diversity in programming and the need for systemic change in the tech community.

In this episode we talk to Nassim Parvin and Neda Atanasoski, the editors of the book Technocreep. We discuss what makes a technology creepy and the rise of so-called creepy technologies during COVID-19. Neda and Nassim argue that creepiness is associated with surveillance and that privacy is posited as the solution to so-called creepy tech. However, they highlight the way that race and gender have shaped who has the right to privacy and argue that we need to go beyond the privacy/surveillance binary when thinking about creep. Their volume explores instead how feminists are reclaiming the idea of creep, from how the slow growth of creep or creepiness challenges the tech industry's emphasis on radical innovation, to how the idea of creep is used to police what's considered normal or desirable.

In this episode, we talk to N. Katherine Hayles who's the distinguished research professor at the University of California Los Angeles (UCLA) and the James B. Duke Professor Emerita from Duke University. Her prolific research focuses on the relationship between science, literature and technology in the 20th and 21st centuries. We explore her newest book, Bacteria to AI: Human Futures with Our Nonhuman Symbionts, and discuss how the biological concept of symbiosis can inform the relationships we have with AI; how a neural network experiences the world; and whether ChatGPT can be conscious.