Agenda
6:30 - 9:30 p.m. | Showing & Discussion |
Panelists
Maggie Engler, Technical Staff, Microsoft AI Peter Voss, CEO/ Chief Scientist, Aigo.ai Luke Wilson, Chief Data Scientist, Vizias |
Event Summary
The boom in generative AI awareness and usage has stoked public interest in how realistic AI-generated content can be—and whether it can be detected as AI or not. This recalls the Turing test, first posed by Alan Turing as the 'imitation game,' about whether an AI can demonstrate behavior so intelligent that it is indistinguishable from real human behavior. In the 2014 science-fiction movie “Ex Machina,” one of the main characters develops an AI (in this case, in a robot form) and asks another of the main characters to evaluate whether it passes this test. So, now is a fantastic time to rewatch “Ex Machina” and explore how close we may be to AIs that can pass as human. Join us as we rewatch this amazing film, and stay for Q&A with AI experts who will answer your questions and provide their expertise and insights on the realism in this movie and the possibilities of AI that can routinely pass the Turing test—and what that might mean for human and society.
The boom in generative AI awareness and usage has stoked public interest in how realistic AI-generated content can be—and whether it can be detected as AI or not. This recalls the Turing test, first posed by Alan Turing as the 'imitation game,' about whether an AI can demonstrate behavior so intelligent that it is indistinguishable from real human behavior. In the 2014 science-fiction movie “Ex Machina,” one of the main characters develops an AI (in this case, in a robot form) and asks another of the main characters to evaluate whether it passes this test. So, now is a fantastic time to rewatch “Ex Machina” and explore how close we may be to AIs that can pass as human. Join us as we rewatch this amazing film, and stay for Q&A with AI experts who will answer your questions and provide their expertise and insights on the realism in this movie and the possibilities of AI that can routinely pass the Turing test—and what that might mean for human and society.
About the Panelists
Maggie Engler, Technical Staff, Microsoft AI
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Maggie Engler is a technologist and researcher focused on mitigating abuses in the online ecosystem. Currently, she is working on the safety of large language models at Microsoft AI. Previously, Maggie worked on developing machine learning for policy enforcement at Twitter, on detecting and demonetizing online disinformation at Global Disinformation Index, and on user behavior at Duo Security. She has also been a lecturer at the University of Texas at Austin teaching human-centered data science. Maggie holds bachelor’s and master’s degrees in Electrical Engineering from Stanford University with a Notation in Science Communication with distinction and was an Assembly fellow at the Berkman Klein Center for Internet and Society at Harvard University.
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Peter Voss
CEO/ Chief Scientist, Aigo.ai |
Peter's careers include being an entrepreneur, engineer and scientist. His experience includes growing a computer solutions company from zero to a 400-person IPO. In 2001, after several years of intensive research, he co-coined the term ‘AGI’ (Artificial General Intelligence) in 2002 and has since focused on creating advanced, practical AGI systems.
Peter is CEO and Chief Scientist at Aigo.ai, the only company offering a 'Chatbot with a Brain'. The company recently launched a major effort to develop the next generation of their Cognitive AI platform to get to full human-level AGI. Peter also has a keen interest in the inter-relationship between philosophy, psychology, ethics, futurism, and computer science. |
Luke Wilson, Chief Data Scientist, Vizias
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Luke has spent the last 20 years advancing the state of the art in high performance computing and artificial intelligence through roles in academia, finance, and technology.
In 2005 Luke joined the Texas Advanced Computing Center (TACC) and The University of Texas at Austin as a member of HPC research staff and lecturer in the Department of Statistics and Scientific Computation. While at TACC Luke helped in the design, deployment, operations, and programming of more than a dozen Top500 systems from vendors such as IBM, Sun Microsystems, Dell, and Cray. In 2016 Luke became Director of Training and Professional Development at TACC and developed the successful and popular TACC Institute Series of week-long training courses in HPC, Data Analytics, Cloud Computing, HPC Administration, and HPC Leadership. In 2017 Luke made the move to Dell Technologies, where he served as Chief Data Scientist and Distinguished Engineer for HPC/AI in the Infrastructure Solutions Group. While at Dell Luke led the development and publication of dozens of patents in areas such as infrastructure configuration, cloud computing, and containerization. In 2022 Luke joined market maker and high-frequency trading firm Optiver as Head of Global Research Infrastructure, where he let a global team advancing their compute, storage, networking, and software strategies and deployments. Luke holds a PhD in Computer Science from the University of Texas at San Antonio and has worked on many high-profile projects, including providing data processing support for the Nobel Prize-winning LIGO project and introducing performance and parallel scaling optimizations for early transformer neural networks, paving the way for technologies like GPT-3/ChatGPT. He is the author of more than two dozen peer-reviewed research papers. Outside of work Luke enjoys science fiction and superhero movies, classical history and Egyptology, golf, and spending time with his wife and 2 children. |