Description
This is the second event in a two-part series that engages with the relationship between gender and technology. This event addresses gender, race and class in the area of robotics, automation and artificial intelligence.
Robots and automation may appear ostensibly as pure technical developments. However, reports have shown that gendered as well as racialised stereotypes influence the design and utilization of both. As a consequence, these technological developments run the risk to enhance inequalities.
In this panel we aim to explore what is needed to counteract such risks. We want to know what is needed to ensure that digital transformation will contribute to an inclusive workplace and a social justice agenda.
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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
Dr Long Bui, University of California at Irvine
Professor Elisabeth Kelan, University of Essex
Professor Sabine T Köszegi, Vienna University of Technology
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
- Gaining insight into how digital transformation can contribute to an inclusive workplace and a social justice agenda
- 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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