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April 12, 2023
Ask the Experts: An AI Q&A Forum 7:00 p.m. CDT | In-Person |
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Agenda
7:00 - 9:45 p.m. | Discussion |
Panelists
Eunsol Choi, Assistant Professor, University of Texas - Department of Computer Science; Numa Dhamani, Principal Machine Learning Engineer, KUNGFU.AI; Saurabh Jha, Director of Data Science, Dell Technologies |
Event Summary
Update: The originally planned event showing "Her" and discussing the state of NLP and AGI will be rescheduled.
Due to technical difficulties at the venue, this became a wonderful, general AI Q&A with our experts--and with many audience members sharing insights as well as questions!
The 2013 movie “Her” is a wonderful science fiction movie about AI having evolved to the point of general intelligence, even sentience. There are no robotics in this AI movie—it is all about the powerful but human-like AI capabilities of his “OS.” “Her” is inspiring and thought-provoking but represents a realistically still far away or possibly unattainable. And yet, on November 30, 2022—just 9 years after “Her”—ChatGPT emerged and suddenly everyone was talking about how it mimics conversation, can be trained on more data than any human could ever learn, etc. (Read our short interview with ChatGPT and you’ll see.) Coupled with AI technologies for turning text to voice and vice versa, one could imagine a verbal form of ChatGPT—and being to wonder if “Her” is much closer than we thought!
Update: The originally planned event showing "Her" and discussing the state of NLP and AGI will be rescheduled.
Due to technical difficulties at the venue, this became a wonderful, general AI Q&A with our experts--and with many audience members sharing insights as well as questions!
The 2013 movie “Her” is a wonderful science fiction movie about AI having evolved to the point of general intelligence, even sentience. There are no robotics in this AI movie—it is all about the powerful but human-like AI capabilities of his “OS.” “Her” is inspiring and thought-provoking but represents a realistically still far away or possibly unattainable. And yet, on November 30, 2022—just 9 years after “Her”—ChatGPT emerged and suddenly everyone was talking about how it mimics conversation, can be trained on more data than any human could ever learn, etc. (Read our short interview with ChatGPT and you’ll see.) Coupled with AI technologies for turning text to voice and vice versa, one could imagine a verbal form of ChatGPT—and being to wonder if “Her” is much closer than we thought!
About the Panelists
Eunsol Choi
Assistant Professor University of Texas - Department of Computer Science |
Eunsol Choi is an assistant professor in the Computer Science department at the University of Texas at Austin. Her research area spans natural language processing and machine learning. She is particularly interested in interpreting and reasoning about text in a rich real world context. She received a Ph.D. from University of Washington and B.A from Cornell University. She is a recipient of Facebook research fellowship, Google faculty research award, and outstanding paper award at EMNLP 2021. Prior to UT, she was a visiting researcher at Google AI NY.
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Numa Dhamani is a natural language processing expert with domain expertise in information warfare, security/privacy, and trust and safety. She has advised startups and nonprofits, served as the Principal Investigator on various DARPA programs, and contributed to multiple international peer-reviewed journals. Currently, Numa is a Principal Machine Learning Engineer at KUNGFU.AI. She has previously worked on mitigating abuses in the online ecosystem at Twitter, on counter disinformation efforts at the Global Disinformation Index, on detecting online extremism and influence operations at Yonder, and on developing cutting-edge machine learning solutions at Accenture's Innovation Hub. Numa holds degrees in Physics and Chemistry from the University of Texas at Austin.
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Saurabh Jha
Director of Data Science Dell Technologies |
Saurabh Jha is an accomplished Director of Data Science with over 15.5 years of experience in Industry across data engineering, data visualization, Information Architecture, advanced analytics and building machine learning systems.
He has strong background in machine learning with strong focus towards development of deep learning algorithms and is skilled in Computer Vision and NLP automating data driven decision making. He has a proven track record of leading successful complex transformation programs that drive Innovation at scale. As a Director of Data Science at Dell – Customer and Financial Services group he has built and grown the team ground up and leads the business unit with over 26+ talented data scientists, data engineers providing them with strategic direction and guidance to ensure team is equipped with the necessary tools and resources to succeed. In his current role he is responsible to drive operational efficiency and improve customer experience in Order to Cash, Customer Care, Disbursements and CFO Org by developing and integrating Intelligence as a Service into their operational business systems. He is also Executive in Residence at UT, Austin and collaborates with University Professors and Students to drive joint Research. He has filed several patents in US Patent office and also has a paper published at NeurIps 2022. |
