In this episode of the podcast I chat to Jess Morley. Jess is currently a DPhil candidate at the Oxford Internet Institute and a member of the Bennett Institute for Applied Data Science. Her research focuses on the use of data in healthcare, oftentimes on the impact of big data and AI, but, as she puts it herself, usually on 'less whizzy' things. Sadly, our conversation focuses on the whizzy things, in particular the recent hype about large language models and their potential to disrupt the way in which healthcare is managed and delivered. Jess is sceptical about the immediate potential for disruption but thinks it is worth exploring, carefully, the use of this technology in healthcare.
You can download the episode here or listen below. You can also subscribe the podcast on Apple, Spotify, Google, Amazon or whatever your preferred service might be.
Relevant LinksTITE 10 - Bonus Episode: Audience Q and A
TITE 9 - Human-Technology Futures
TITE 8 - Machines as Colleagues, Friends and Lovers
TITE 7 - Can Machines be Moral Patients?
TITE 6 - Moral Agency in Machines
TITE 5 - Technology and Responsibility Gaps
TITE 4 - Behaviour Change and Control
TITE 3 - Value Alignment and the Control Problem
TITE 2: The Methods of Technology Ethics
New Podcast Series - 'This is Technology Ethics'
110 - Can we pause AI Development? Evidence from the history of technological restraint
109 - How Can We Align Language Models like GPT with Human Values?
108 - Miles Brundage (Head of Policy Research at Open AI) on the speed of AI development and the risks and opportunities of GPT
106 - Why GPT and other LLMs (probably) aren't sentient
105 - GPT: Higher Education's Jurassic Park Moment?
104 - What will be the economic impact of GPT?
103 - GPT: How worried should we be?
102 - Fictional Dualism and Social Robots
101 - Pistols, Pills, Pork and Ploughs: How Technology Changes Morality
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