This event is also part of the Humanities Cultural Programme, one of the founding stones for the  future Stephen A. Schwarzman Centre for the Humanities.  This seminar on Ethics in AI Education will tackle three questions that arise when we aim to teach computer science students about the ethical and social responsibility dimensions of AI engineering: (1) What are our learning objectives? (2) What are suitable means to meeting those objectives? (3) What are the obstacles? Dr Milo Phillips-Brown, Dr Helena Webb, and Prof. Max Van Kleek will frame these questions and share what they’ve found from their own work in this area. They are also keen to learn from the experience of others, and this seminar provides an opportunity for the panellists and audience to brainstorm together about these issues.
Chair:
Peter Millican, Gilbert Ryle Fellow and Professor of Philosophy at Hertford College, Oxford University

Speakers:

Milo Phillips-Brown, Associate Professor of Philosophy in the Faculty of Philosophy and Department of Computer Science, Tutorial Fellow at Jesus College (from 2021) and Senior Research Fellow in Digital Ethics
and Governance, Jain Family Institute

Max Van Kleek, Associate Professor of Human-Computer Interaction with the Department of Computer Science, University of Oxford

Helena Webb, Senior Researcher in the Department of Computer Science

This event is also part of the Humanities Cultural Programme, one of the founding stones for the future Stephen A. Schwarzman Centre for the Humanities. This seminar on Ethics in AI Education will tackle three questions that arise when we aim to teach computer science students about the ethical and social responsibility dimensions of AI engineering: (1) What are our learning objectives? (2) What are suitable means to meeting those objectives? (3) What are the obstacles? Dr Milo Phillips-Brown, Dr Helena Webb, and Prof. Max Van Kleek will frame these questions and share what they’ve found from their own work in this area. They are also keen to learn from the experience of others, and this seminar provides an opportunity for the panellists and audience to brainstorm together about these issues. Chair: Peter Millican, Gilbert Ryle Fellow and Professor of Philosophy at Hertford College, Oxford University Speakers: Milo Phillips-Brown, Associate Professor of Philosophy in the Faculty of Philosophy and Department of Computer Science, Tutorial Fellow at Jesus College (from 2021) and Senior Research Fellow in Digital Ethics and Governance, Jain Family Institute Max Van Kleek, Associate Professor of Human-Computer Interaction with the Department of Computer Science, University of Oxford Helena Webb, Senior Researcher in the Department of Computer Science

Ethics in AI 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.

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 Ethics in AI Education

Sign up to save your podcasts

Ethics in AI Education

Ethics in AI Education

More shows like Ethics in AI

John Locke Lectures in Philosophy

Nietzsche on Mind and Nature

General Philosophy

Politics and International Relations Podcasts

Anthropology

Philosophy for Beginners

Approaching Shakespeare

Aesthetics and Philosophy of Art lectures

The Audio Long Read

The Secrets of Mathematics

Theoretical Physics - From Outer Space to Plasma

The Daily

Missing in the Amazon