Ep. #43: Deepfakes, words vs actions, hatred in anthropology and social dissociation: This month on TFS (Re-Release)

On this month's panel episode, digital anthropologist Dr Stephanie Betz (5:50) discusses “deepfakes”. It's been possible to doctor images to a very high degree of believability for a long time - Arthur Conan Doyle, author of Sherlock Holmes, was fooled by fake images of two young girls playing in their garden with a community of fairies back in 1917! But deepfake technologies are now making it possible to create fake video footage so realistic that it's almost impossible to detect with the naked eye, and so easy to create that all you need is a smart phone. How will society adapt to these changes?

Ep. #42: Economies of Openness: Ros Attenborough on cultures of trust, exclusion & generosity in STS

"All of these questions deserve...just that little bit extra thought about what would openness look like for my study and in my discipline? What would it achieve? What effects would it have? And you know that when you have research interview data it's never going to be as simple as just 'publishing it on the internet'. There … Continue reading Ep. #42: Economies of Openness: Ros Attenborough on cultures of trust, exclusion & generosity in STS

Ep. #41: Mediocrity, Confusing Cake, Public Accountability & Gift Reciprocity: This month on TFS

Simon (0:48) kicks off this panel by asking us about mediocrity. He reflects on his fieldwork in Iran, where he observed – particularly in the education sphere - that there was a very small difference between being ‘perfect’ and being a ‘failure’. “In Australia we…have this kind of uncomfortable-ness, I think, with excellence and the … Continue reading Ep. #41: Mediocrity, Confusing Cake, Public Accountability & Gift Reciprocity: This month on TFS

Ep. #40 Robot Reflections: Inger Mewburn on researching researchers & welcoming our robot overlords

“Machine learning is a broad area of study, and that’s one thing you don’t see from a distance, is how broad it is. We like to do what we call human-in-the-loop type of machine learning, which is a co-creation of something. So, what we’re using is the machine to, sort of, both capture our knowledge … Continue reading Ep. #40 Robot Reflections: Inger Mewburn on researching researchers & welcoming our robot overlords