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 Links92 - The Ethics of Virtual Worlds
91 - Rights for Robots, Animals and Nature?
90 - The Future of Identity
89 - Is Morality All About Cooperation?
88 - The Ethics of Social Credit Systems
87 - AI and the Value Alignment Problem
86 - Are Video Games Immoral?
85 - The Internet and the Tyranny of Perceived Opinion
84 - Social Media, COVID-19 and Value Change
83 - Privacy is Power
82 - What should we do about facial recognition technology?
81 - Consumer Credit, Big Tech and AI Crime
80 - Bias, Algorithms and Criminal Justice
79 - Is There A Techno-Responsibility Gap?
78 - Humans and Robots: Ethics, Agency and Anthropomorphism
77 - Should AI be Explainable?
76 - Surveillance, Privacy and COVID-19
75 - The Vital Ethical Contexts of Coronavirus
74 - How to Understand COVID 19
73 - The Ethics of Healthcare Prioritisation during COVID 19
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