Past event

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The Society of HPC Professionals past event

 

Lunch & Learn – May 2021

Complex society reduced to simplistic binary stereotypes?

27 May 2021 | Live stream

This content is for members only.

About the Event

 

In 2015 Northpointe introduced the COMPAS algorithm to predict the likelihood that a defended might reoffend. More recently HireVue and other companies have released video analysis products claiming to be able to identify emotions and “employability” from faces. In each of these cases the perceived objectiveness of algorithmic systems is used to justify applying population statistics to assessments on individuals with no scientific causal basis for the inferences, what is commonly referred to as stereotyping.

In a world where AI algorithms have moved from toy tasks to influencing life altering decisions, the development and use of AI must consider not only its technical challenges but also the social ramifications.

Responsible development and use of AI must translate conceptual ideals of ethical AI principles into practical choices: how should optimal performance be defined; how should it be measured? which data is appropriate? who should have a say in these decisions? where does accountability lie? etc.

In this presentation I will discuss some of the most common ethical issues encountered with the use of AI and recent developments to address these through guidance, standards and regulation.

About the Speaker

 

Dr. Ansgar Koene

Global AI Ethics and Regulatory Leader, Ernst & Young
Senior Research Fellow, the Horizon Digital Economy Research institute (University of Nottingham)

Dr. Ansgar Koene is Global AI Ethics and Regulatory Leader at EY (Ernst & Young) where he supports the AI Lab’s Policy activities on Trusted AI. He is also a Senior Research Fellow at the Horizon Digital Economy Research institute (University of Nottingham) where he contributes to the policy impact and public engagement activities of the institute and the ReEnTrust and UnBias projects  As part of this work Ansgar has provided evidence to parliamentary inquiries, co-authored a report on Bias in Algorithmic Decision-Making for the Centre for Data Ethics and Innovation, and was lead author of a Science Technology Options Assessment report for the European Parliament on “a Governance Framework for Algorithmic Accountability and Transparency”.

Ansgar chairs the IEEE P7003 Standard for Algorithmic Bias Considerations working group, was the Bias Focus Group leader for the IEEE Ethics Certification Program for Autonomous and Intelligent Systems (ECPAIS), and participates in the IEEE standards P2089 “Age Appropriate Digital Services Framework” and IEEE P2863 “Governance of AI”. Other standards development work includes participation in the ISO/IEC JTC1 SC42 Artificial Intelligence activities and the CEN-Cenelec Focus Group for AI.

He is a trustee for the 5Rgiths foundation for the Rights of Young People Online and is part of the 5Rights Digital Futures Committee.

Ansgar has a multi-disciplinary research background, having worked and published on topics ranging from Policy and Governance of Algorithmic Systems (AI), data-privacy, AI Ethics, AI Standards, bio-inspired Robotics, AI and Computational Neuroscience to experimental Human Behaviour/Perception studies. He holds an MSc in Electrical Engineering and a PhD in Computational Neuroscience.

REGISTRATION IS CLOSED

Members
FREE for Members and U of H Student Members

Non-Members
$15 for Non-Members
et copies of presentations and videos (when approved by presenter), and can participate in our annual Technology Meeting in December.
Plus, when we return to live events get free lunch and ability to live stream events.
It more than pays for itself if you attend just 4 events per year.

LOCATION:

Due to COVID-19, this month’s Lunch & Learn is a live stream event only. 

For members, the link is on the Registration and Member Resources pages when you log in.

For non-members, the link will be provided after you register