One Size Does Not Fit All: Towards AI For Everyone

Add to your list(s) Download to your calendar using vCal

• Rada Mihalcea, University of Michigan
• Thursday 09 November 2023, 11:00-12:00
• https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

If you have a question about this talk, please contact Panagiotis Fytas.

Recent years have witnessed remarkable advancements in AI, with language and vision models that have enabled progress in numerous applications and opened the door to the integration of AI in areas such as communication, transportation, healthcare, and arts. Yet, these models mainly adopt a one-size-fits-all strategy, failing to account for individual and group variations. In this talk, I will show some of the limitations and lack of representation of current AI models, and highlight the need for cross-cultural language and vision models that can capture the diversity of behaviors, beliefs, and language expressions across different groups. I will also explore ways in which we can address these limitations by developing models that are re-centered around people and their unique characteristics.

This talk is part of the Language Technology Lab Seminars series.

This talk is included in these lists:

• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge Forum of Science and Humanities
• Cambridge Language Sciences
• Cambridge talks
• Chris Davis' list
• Guy Emerson's list
• Interested Talks
• Language Sciences for Graduate Students
• Language Technology Lab Seminars
• Simon Baker's List
• Trust & Technology Initiative - interesting events
• bld31
• https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.