Ethics in AI
by Oxford University
July 12, 2021 6:54 pm
Over the last decade, concerns about the power and danger of Artificial Intelligence have moved from the fantasy of “Terminator” to reality, and anxieties about killer robots have been joined by many others that are more immediate. Robotic systems threaten a massive disruption of employment and transport, while algorithms fuelled by machine learning on (potentially biased) “big data” increasingly play a role in life-changing decisions, whether financial, legal, or medical. More subtly, AI combines with social media to give huge potential for the manipulation of opinion and behaviour, whether to sell a product, influence financial markets, provoke divisive factionalism, or fix an election. All of this raises huge ethical questions, some fairly familiar (e.g. concerning privacy, information security, appropriate rules of automated behaviour) but many quite new (e.g. concerning algorithmic bias, transparency, and wider impacts). It is in this context that Oxford is creating an Institute for AI Ethics, to open up a broad conversation between the University’s researchers and students in the many related disciplines, including Philosophy, Computer Science, Engineering, Social Science, and Medicine (amongst others). The Ethics in AI seminars are intended to facilitate this broad conversation, exploring ethical questions in AI in a truly interdisciplinary way that brings together students and leading experts from around the University.
Recent Episodes
Ethics in AI Seminar: Responsible Research and Publication in AI
3 years agoEthics in AI Colloquium with Adrienne Mayor: Gods and Robots: Myths, Machines, and Ancient Dreams of Technology
3 years agoAI in a Democratic Culture - Presented by the Institute for Ethics in AI
3 years agoDoes AI threaten Human Autonomy?
4 years agoPrivacy Is Power
4 years agoAlgorithms Eliminate Noise (and That Is Very Good)
4 years agoEthics in AI Education
4 years ago3f. Values and AI: view from public policy
5 years ago3d. AI and finance
5 years ago3c. Population health and AI: efficiency, accuracy and trust
5 years ago