Nigel Shadbolt, Principal of Jesus College, Department of Computer Science, gives the first talk in the first Ethics in AI seminar, held on November 11th 2019.

Nigel Shadbolt, Principal of Jesus College, Department of Computer Science, gives the first talk in the first Ethics in AI seminar, held on November 11th 2019.

Nigel Shadbolt, Principal of Jesus College, Department of&nbsp;Computer Science, gives the first talk in the first Ethics in AI seminar, held on November&nbsp;11th&nbsp;2019.

1a. Background and Aims of the Institute for Ethics in AI

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.

Education

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.

Share 1a. Background and Aims of the Institute for Ethics in AI

Sign up to save your podcasts

1a. Background and Aims of the Institute for Ethics in AI

1a. Background and Aims of the Institute for Ethics in AI

More shows like Ethics in AI

Philosophy for Beginners

Approaching Shakespeare

General Philosophy

Anthropology

Aesthetics and Philosophy of Art lectures

Theoretical Physics - From Outer Space to Plasma

Critical Reasoning: A Romp Through the Foothills of Logic

The Secrets of Mathematics

Women at Work

Critical Reasoning for Beginners

Kant's Critique of Pure Reason

All-In with Chamath, Jason, Sacks Friedberg

Smith and Sniff

Driven by Data: The Podcast

The Jefferson Fisher Podcast

OpenAI Podcast