Description
This is the first event in a two-part series that engages with the relationship between gender and technology. This event explores the relationship between gender and artificial intelligence. Fast advances in artificial intelligence have, on the one hand, been welcomed as they signify one of the most transformational advances in technology that extends the human-machine relationship. On the other hand, many questions continue to be raised about the implications in the widespread use of AI.
In particular, we have seen reports about algorithmic bias that reproduce and exacerbate gender and intersectional inequalities. It has been said that AI is a mirror of ourselves and against the backdrop, this panel discussion will reflect on the relationship between gender and AI and its implications and the challenges it poses for diversity and equality issues at work.
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Provider Information
BAM Gender in Management Special Interest Groups
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Who Should Attend?
This event looks to engage with all academics interested in the relationship between gender and artificial intelligence. The event will present expert discussion that will be of interest to members of BAM at all stages in their careers. The event is looking to support the development of expert knowledge.The event speaks to Sections A1, A2 and A3, as detailed in the BAM Framework
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Speaker
Professor Anja Lambrecht, London Business School
Julian Posada, University of Toronto
Dr Mayra Ruiz Castro, University of Roehampton
Professor Judy Wajcman, London School of Economics and Political Science
Chairs
Dr Jenny Rodriguez, University of Manchester
Dr Elisabeth Anna Günther, University of Vienna
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Benefits of attending
- Enhancing knowledge and understanding of the relationship between Gender and AI
- Gain insight into what explains AI bias and its implications for gender equality and diversity
- Engage in discussion about the possibility for developing "inclusive AI"
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Contact
Please contact the BAM Office at [email protected] with any queries.
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Event Fee
BAM Members: Free
Non-BAM Members: £25
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