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Licence Creative Commons Keynote Carina Prunkl - DCASE2022 Workshop

3 novembre 2022
Durée : 01:08:41
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DCASE2022 Workshop
Workshop on Detection and Classification of Acoustic Scenes and Events

Keynote Carina Prunkl
University of Oxford, Institute for Ethics in AI

Pride and Prejudice – Implementing Ethics into AI development

Abstract

Trading, identifying, hiring, or firing – advances in ML drive innovation across sectors and societies. At the same time, it has become clear that there are significant challenges emerging from the use of AI systems. Some of these are quite general and as old as humanity itself. Others are very specific to ML, forcing us to reflect on our cultures and our values. This talk will address the challenges associated with AI development. It will discuss the difficulties of risk prediction, responsible innovation, and the importance of communication between research cultures.

Biography

Carina Prunkl is a Research Fellow at the University of Oxford’s Institute for Ethics in AI, a Junior Research Fellow at Jesus College, Oxford, and an affiliate at Harvard University’s Black Hole Initiative. She is also a member of the Humanities Cultural Programme Steering Committee and works as an Ethics Advisor for Digital Catapult.

She works on the ethics and governance of artificial intelligence. Her main research focus is on autonomy and the ethics of automated decision-making in public sector settings, though she is also interested in the more general question as to how to implement ethical considerations into governance solutions. She currently co-teaches the undergraduate course on Ethics in AI for philosophy students, as well as Governance of AI for the EPSRC Centre for Doctoral Training in Autonomous and Intelligent Machines and Systems.

She holds a DPhil in Philosophy and an MSt in Philosophy of Physics from the University of Oxford as well as a Master’s and Bachelor’s degree in Physics from Freie Universität Berlin.

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The workshop aims to provide a venue for researchers working on computational analysis of sound events and scene analysis to present and discuss their results.

The 7th Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2022, will be held in Nancy on November 3-4. The event will be held in presence with oral talks being broadcasted.

As in previous years the workshop is organized in conjunction with the DCASE challenge. We aim to bring together researchers from many different universities and companies with an interest in the topic, and provide the opportunity for scientific exchange of ideas and opinions.

The technical program will include invited speakers on the topic of computational everyday sound analysis and recognition, and oral and poster presentations of accepted papers. Additionally, a special poster session will be dedicated to the DCASE 2022 challenge entries and results.

 Informations