Feb 09
2023
1:00 pm - 2:00 pm
Data Protection and (In)accuracy – Emotional AI as a Case Study

Date: Thursday, February 9, 2023

 

Time: 1pm – 2pm (Hong Kong Time) via Zoom

 

Speaker: Dr. Damian Clifford (Senior Lecturer, Australian National University College of Law)

 

Abstract:

There is an increasing reliance on digital technologies. From smart phones to smart watches and other internet-enabled consumer products, we are increasingly reliant on technological developments. But these products and services also present challenges and there have been repeated scandals. Underlying such applications is the purported capacity to infer through intensive data processing whereby seemingly innocuous device-related data are processed to reveal sensitive personal inferences.

 

The purpose of this talk in particular is to explore how inaccurate inferences drawn through the use of such technologies may be understood in data protection law. To contextualise the discussion, this seminar will explore the rise of ‘emotional AI’ or the buzzword now used to refer to the affective computing sub-discipline and more specifically, technologies that aim to detect, classify and respond appropriately to users’ emotional lives thereby appearing to understand their audience in particular. There have been well documented concerns as to the accuracy of these technologies and therefore, they present an excellent case study to set the scene for this talk.

 

About the speaker: Damian Clifford is a senior lecturer at the Australian National University, College of Law and a chief investigator of the ANU Humanising Machine Intelligence Grand Challenge project and the Socially Responsible Insurance in the Age of Artificial Intelligence ARC Linkage Project. He is also an affiliate of the ARC Centre of Excellence for Automated Decision-Making and Society and the Institute of Advanced Legal Studies (University of London).

 

All are welcome!  Please register as soon as possible: https://hkuems1.hku.hk/hkuems/ec_regform.aspx?guest=Y&UEID=86059

 

For inquiries, please contact Ms. Grace Chan at / 3917 4727.

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