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Data Ethics Discussions to Anticipate AI Harms

21 May 2025, 3:00 pm–4:00 pm

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Event Information

Open to

All

Organiser

Martin Dechant

Location

room G01
66-72 Gower Street
London
WC1E 6EA
United Kingdom

The increasing deployment of AI across industries has led researchers, journalists, and civil groups to question the ethics and values that these AI systems have been developed with or embody. Sparked by scandals such as racially discriminatory facial recognition software and colonial practices in data work, these conversations have birthed legislation and research agendas dedicated to algorithmic impacts on society.

A lot of this work so far has concentrated on producing generalised regulation and frameworks, which lack the contextual detail that is key to ethical decision-making. Technical practitioners, who often lack training in ethical discussion, need tools to support them in applying the abstract frameworks to the context of the industries, user groups and organisations they are operating in.

This talk explores a variety of methods to create spaces for discussing ethics and values of data and AI systems in their application contexts, such as the collaboratively designed toolkit called the Data Ethics Emergency Drill. 

This seminar is also available for remote joining on Zoom: https://ucl.zoom.us/j/98581580748

About the Speaker

Vanessa Hanschke

Associate Lecturer at University College London

vanessa-hanschke
Vanessa Hanschke is an Associate Lecturer in Human-Computer Interaction at the UCL Interaction Centre. Her main research focus is designing interventions to foster awareness of social and ethical implications among data and AI developers. She originally studied Cognitive Science (BSc) and Design Informatics (MSc) at the University of Edinburgh. Then, she worked as a data and AI consultant for Microsoft in Milan, Italy, delivering data and AI solutions to corporate customers. She completed her PhD as part of the Interactive AI CDT at the University of Bristol supervised by Dr Paul Marshall, Dr Edwin Simpson and Prof. Kenton O' Hara.