Generative AI: sparks of AGI or glorified copy-paste machines?
In this talk, we survey current state-of-the-art AI systems and their downstream impact on society and conclude with some recommendations geared towards reliable and equitable AI systems as well as mechanisms for accountability.
Speaker: Abeba Birhane, Research Fellow, School of Computer Science and Statistics, Trinity College, Dublin
Abstract: The past number of years have seen peak excitement, enthusiasm, and inflated optimism around AI, mostly predicated upon yet to materialise “benefits”, “potentials”, and “promises”. Actual deployed systems however continue to fail to live up to their promises, leading to numerous downstream impacts. In this talk, we survey current state-of-the-art AI systems and their downstream impact on society and conclude with some recommendations geared towards reliable and equitable AI systems as well as mechanisms for accountability.
Bio: Abeba Birhane founded and leads the TCD AI Accountability Lab (AIAL). Birhane received her PhD in 2022 and is currently a Research Fellow at the School of Computer Science and Statistics in Trinity College Dublin. Her research focuses on AI accountability, with a particular focus on audits of AI models and training datasets – work for which she was featured in Wired UK and TIME on the TIME100 Most Influential People in AI list in 2023. Dr. Birhane also served on the United Nations Secretary-General’s AI Advisory Body and currently serves at the AI Advisory Council in Ireland.
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IPaT: GVU Lunch Lecture Series
The IPaT: GVU Lunch Lecture Series is free and features guest speakers presenting on topics related to people-centered technologies and their impact on society. Lunch is provided at 12:00 p.m. and the talks begin at 12:30 p.m. Join us weekly or watch video replays. Most lectures are held in the Technology Square Research Building (TSRB) 1st floor ballroom.
https://research.gatech.edu/ipat/lunch-lectures
