BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CITRIS and the Banatao Institute - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://citris-uc.org
X-WR-CALDESC:Events for CITRIS and the Banatao Institute
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230412T120000
DTEND;TZID=America/Los_Angeles:20230412T130000
DTSTAMP:20260414T224549
CREATED:20230313T234154Z
LAST-MODIFIED:20230911T170947Z
UID:47307-1681300800-1681304400@citris-uc.org
SUMMARY:CITRIS Research Exchange and BAIR Present: Sergey Levine on Reinforcement Learning in AI
DESCRIPTION:Talk Title: “Reinforcement Learning With Large Datasets: a Path to Resourceful Autonomous Agents” \nSpeaker: Sergey Levine\, Associate Professor of Electrical Engineering and Computer Science\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: One of the most remarkable things about recent generative machine learning systems is their ability to produce generations that seem like something humans would create. In contrast\, one of the most remarkable things about reinforcement learning methods\, such as AlphaGo\, is precisely that they can come up with solutions\, such as Move 37\, that solve problems in unexpected ways. But such methods are difficult to apply to settings that\, unlike the game of Go\, are not constrained by simple rules. What would it take to create machine learning systems that can make decisions when faced with the full complexity of the real world\, while retaining the ability to come up with new solutions? In this talk\, Levine will discuss how advances in offline reinforcement learning can enable machine learning systems to make more optimal decisions from data\, combining the best of data-driven machine learning with the capacity for emergent behavior and optimization provided by reinforcement learning. \nSpeaker Bio: Sergey Levine received a B.S. and M.S. in computer science from Stanford University in 2009\, and a Ph.D. in computer science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work focuses on machine learning for decision-making and control\, with an emphasis on deep learning and reinforcement learning algorithms. Applications of his work include autonomous robots and vehicles\, as well as applications in other decision-making domains. His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control\, scalable algorithms for inverse reinforcement learning\, deep reinforcement learning algorithms\, and more. \nAbout the Talk: Co-hosted with the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-research-exchange-and-bair-present-sergey-levine-on-reinforcement-learning-in-ai/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/03/research-exchange-ai-lectures-1540x368px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230419T120000
DTEND;TZID=America/Los_Angeles:20230419T130000
DTSTAMP:20260414T224549
CREATED:20230313T235151Z
LAST-MODIFIED:20230911T171035Z
UID:47308-1681905600-1681909200@citris-uc.org
SUMMARY:CITRIS Research Exchange and BAIR Present: Michael I. Jordan on Economics in AI
DESCRIPTION:Talk Title: “How AI Fails Us\, and How Economics Can Help” \nSpeaker: Michael I. Jordan\, Distinguished Professor of Electrical Engineering and Computer Science and of Statistics\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: Artificial intelligence (AI) has focused on a paradigm in which intelligence inheres in a single agent\, and in which agents should be autonomous so they can exhibit intelligence independent of human intelligence. Thus\, when AI systems are deployed in social contexts\, the overall design is often naive. Such a paradigm need not be dominant. In a broader framing\, agents are active and cooperative\, and they wish to obtain value from participation in learning-based systems. Agents may supply data and resources to the system\, only if it is in their interest. Critically\, intelligence inheres as much in the system as it does in individual agents. This perspective is familiar to economics researchers\, and a first goal in this work is to bring economics into contact with computer science and statistics. The long-term goal is to provide a broader conceptual foundation for emerging real-world AI systems\, and to upend received wisdom in the computational\, economic and inferential disciplines. \nSpeaker Bio: Michael I. Jordan is the Pehong Chen Distinguished Professor in the departments of electrical engineering and computer science and of statistics at the University of California\, Berkeley. His research interests bridge the computational\, statistical\, cognitive\, biological and social sciences. Jordan is a member of the National Academy of Sciences\, the National Academy of Engineering\, and the American Academy of Arts and Sciences\, and a foreign member of the Royal Society. He was a plenary lecturer at the International Congress of Mathematicians in 2018. He received the Ulf Grenander Prize from the American Mathematical Society in 2021\, the IEEE John von Neumann Medal in 2020\, the IJCAI Research Excellence Award in 2016\, the David E. Rumelhart Prize from the Cognitive Science Society in 2015 and the ACM/AAAI Allen Newell Award in 2009. \nAbout the Talk: Co-hosted with the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-research-exchange-and-bair-present-michael-i-jordan-on-economics-in-ai/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/03/research-exchange-ai-lectures-1540x368px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230426T120000
DTEND;TZID=America/Los_Angeles:20230426T130000
DTSTAMP:20260414T224549
CREATED:20230314T173255Z
LAST-MODIFIED:20230911T171134Z
UID:47309-1682510400-1682514000@citris-uc.org
SUMMARY:CITRIS Research Exchange and BAIR Present: Pamela Samuelson on Generative AI and Copyright
DESCRIPTION:Talk Title: “Generative AI Meets Copyright” \nSpeaker: Pamela Samuelson\, Richard M. Sherman Distinguished Professor of Law\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: The question that has intrigued copyright professionals since the mid-1960s is whether computer-generated texts and images would be eligible for this law’s protection. Early on\, the consensus was that artificial intelligence (AI) is just a tool\, like a camera\, so humans could claim copyright in machine-generated outputs to which they made contributions. Now the consensus is that AI-generated texts and images are not copyrightable for the lack of a human author. The urgent questions today focus on whether ingesting in-copyright works as training data is copyright infringement and whether the outputs of AI programs are infringing derivative works of the ingested images. Four recent lawsuits\, one involving GitHub’s Copilot and three involving Stable Diffusion\, will address these issues. \nSpeaker Bio: Pamela Samuelson has been a member of the UC Berkeley School of Law faculty since 1996. She has written and spoken extensively about the challenges that new information technologies pose for traditional legal regimes\, especially for intellectual property law. She is a member of the American Academy of Arts & Sciences\, a fellow of the Association for Computing Machinery (ACM)\, a contributing editor of Communications of the ACM\, a past fellow of the John D. & Catherine T. MacArthur Foundation\, a member of the American Law Institute\, and an honorary professor of the University of Amsterdam. \nAbout the Talk: Co-hosted with the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-research-exchange-and-bair-present-pamela-samuelson-on-generative-ai-and-copyright/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/03/research-exchange-ai-lectures-1540x368px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230913T120000
DTEND;TZID=America/Los_Angeles:20230913T130000
DTSTAMP:20260414T224549
CREATED:20230801T002043Z
LAST-MODIFIED:20230911T170532Z
UID:47668-1694606400-1694610000@citris-uc.org
SUMMARY:CITRIS\, CDSS and BAIR Present: Jaron Lanier on Data Dignity in AI
DESCRIPTION:Talk Title: “Data Dignity and the Inversion of AI” \nSpeaker: Jaron Lanier\, Prime Unifying Scientist\, Microsoft \nRegister To Attend | Watch Livestream on YouTube \nAbstract: In this talk\, Jaron Lanier will discuss a piece he published in The New Yorker (“There Is No AI”) about applying data dignity ideas to artificial intelligence (AI). Large-model AI can be reconceived as a social collaboration between the people who provided data to the model in the form of text\, images and other modalities. This is a figure/ground inversion of the usual conception of AI as being a participant or collaborator in its own right. Explanations of model results and behaviors would then center around the relative influence of specific inputs through a provenance calculation mechanism. This formulation suggests new and different strategies for long-term economics in the context of high-performance AI\, as well as more concrete approaches to many safety\, fairness and alignment questions. \nSpeaker Bio: Jaron Lanier is a computer scientist\, composer\, artist and author. He currently serves as prime unifying scientist for Microsoft. His many awards include an IEEE lifetime career award and the Peace Prize of the German Book Trade. He was named one of the 25 most influential people in the previous 25 years of tech history by Wired\, one of the world’s 100 most influential people by Time\, one of the world’s top 100 public intellectuals by Foreign Policy\, and a top 50 world thinker by Prospect Magazine. In computer science Lanier is probably best known for his work in virtual reality. He coined the term\, had the first startup\, sold the first hardware and pioneered the major applications. His tech startups landed at Adobe\, Google and Pfizer. He is also known as a critic of technology\, through books like “Ten Arguments for Deleting Your Social Media Accounts” and TV appearances such as in “The Social Dilemma.” He is active in cognitive science\, theoretical physics\, philosophy and economics. \nAbout the Talk: Co-hosted with the UC Berkeley College of Computing\, Data Science\, and Society and the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-cdss-and-bair-present-jaron-lanier-on-data-dignity-in-ai/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/07/research-exchange-fall23-jaron-lanier-1540x368px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230920T120000
DTEND;TZID=America/Los_Angeles:20230920T130000
DTSTAMP:20260414T224549
CREATED:20230809T174118Z
LAST-MODIFIED:20230809T222738Z
UID:47700-1695211200-1695214800@citris-uc.org
SUMMARY:CITRIS Research Exchange: Eli Yablonovitch on Carbon-negative Tech
DESCRIPTION:Talk Title: “Carbon-negative Technology To Solve the Climate Crisis” \nSpeaker: Eli Yablonovitch\, Professor of Electrical Engineering and Computer Sciences\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: In 1977\, physicist Freeman Dyson proposed the burial of biomass as a scalable\, economical solution to the carbon dioxide problem. Today we know that harvested vegetation should be buried in an engineered dry biolandfill. Plant biomass can be preserved for thousands of years by burial in a dry environment with sufficiently low thermodynamic “water activity\,” which is the relative humidity in equilibrium with the biomass. A water activity less than 60 percent will not support life\, suppressing anaerobic organisms\, thus preserving the biomass for millennia. Current agriculture and biolandfill costs indicate that $60 per ton of sequestered carbon dioxide corresponds to $0.53 per gallon of gasoline. If scaled to the level of a major crop\, existing carbon dioxide can be extracted from the atmosphere and sequester a significant fraction of prior years’ carbon dioxide emissions. \nSpeaker Bio: Eli Yablonovitch introduced the idea that strained semiconductor lasers could have superior performance due to reduced valence band effective mass. Now\, with optical telecommunication\, almost every human interaction on the internet occurs by strained semiconductor lasers. Yablonovitch is regarded as a father of the photonic bandgap concept\, and he coined the term “photonic crystal.” The geometrical structure of the first experimentally realized photonic bandgap is sometimes called “Yablonovite.” In his photovoltaic research\, Yablonovitch introduced the 4 (n squared) light-trapping factor\, known as the “Yablonovitch limit\,” that is in worldwide use for almost all commercial solar panels. He was elected to the National Academy of Engineering\, the National Academy of Sciences\, the National Academy of Inventors\, the American Academy of Arts and Sciences\, and as a foreign member\, the Royal Society of the United Kingdom. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-research-exchange-eli-yablonovitch/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/08/RE-web-banner_EYablonovitch.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230927T120000
DTEND;TZID=America/Los_Angeles:20230927T120000
DTSTAMP:20260414T224549
CREATED:20230629T005143Z
LAST-MODIFIED:20230911T170614Z
UID:47380-1695816000-1695816000@citris-uc.org
SUMMARY:CITRIS\, CDSS and BAIR Present: Alison Gopnik on Imitation and Innovation in AI
DESCRIPTION:Talk Title: “Imitation and Innovation in AI: What Four-year-olds Can Do and AI Can’t (Yet)” \nSpeaker: Alison Gopnik\, Distinguished Professor of Psychology\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: Young children’s learning may be an important model for artificial intelligence (AI). Comparing children and artificial agents in the same tasks and environments can help us understand the abilities of existing systems and create new ones. In particular\, many current large data-supervised systems\, such as large language models (LLMs)\, provide new ways to access information collected by past agents. However\, they lack the kinds of exploration and innovation that are characteristic of children. New techniques may help to instantiate childlike curiosity\, exploration and play in AI systems. \nSpeaker Bio: Alison Gopnik is a professor of psychology\, affiliate professor of philosophy and member of the Berkeley Artificial Intelligence Research (BAIR) Lab at the University of California\, Berkeley. She is an internationally recognized leader in the cognitive science of learning and development and the author of the bestselling and critically acclaimed books “The Scientist in the Crib\,” “The Philosophical Baby” and “The Gardener and the Carpenter.” She is a Guggenheim\, American Association for the Advancement of Science (AAAS) and Cognitive Science Society fellow\, a member of the American Academy of Arts and Sciences\, and president of the Association for Psychological Science. She writes the Mind and Matter science column for The Wall Street Journal and has appeared on “The Charlie Rose Show\,” “The Colbert Report\,” “The Ezra Klein Show” and “Radio Lab.” \nAbout the Talk: Co-hosted with the UC Berkeley College of Computing\, Data Science\, and Society and the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-cdss-and-bair-present-alison-gopnik-on-imitation-and-innovation-in-ai/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/07/research-exchange-fall23-alison-gopnik-1540x368px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231004T120000
DTEND;TZID=America/Los_Angeles:20231004T130000
DTSTAMP:20260414T224549
CREATED:20230801T180235Z
LAST-MODIFIED:20230911T170657Z
UID:47671-1696420800-1696424400@citris-uc.org
SUMMARY:CITRIS\, CDSS and BAIR Present: Anca Dragan on AI Agents and Objectives
DESCRIPTION:Talk Title: “AI Agents That Do What We Want: Progress and Open Challenges” \nSpeaker: Anca Dragan\, Associate Professor of Electrical Engineering and Computer Sciences\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: Researchers used to define objectives for artificial intelligence (AI) agents by hand\, but with progress in optimization and reinforcement learning\, it became obvious that it’s too difficult to think of everything ahead of time and write it down. Instead\, these days the objective is viewed as a hidden part of the state on which researchers can receive feedback or observations from humans — how they act and react\, how they compare options\, what they say. In this talk\, Dragan will discuss what this transition has achieved\, what open challenges researchers still face and ideas for mitigating them. This lecture will go over applications in robotics and how the lessons there apply to virtual agents like large language models. \nSpeaker Bio: Anca Dragan is an associate professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. She runs the InterACT Lab\, where her team focuses on algorithms for human-robot interaction that move beyond the robot’s function in isolation\, generate robot behavior that coordinates well with people and align with what they actually want the robot to do. The lab works across different applications\, from assistive arms to quadrotors to autonomous cars\, and draws from optimal control\, game theory\, reinforcement learning\, Bayesian inference and cognitive science. Dragan also helped found and serves on the steering committee for the Berkeley AI Research (BAIR) Lab\, and she is a co-principal investigator of the Center for Human-Compatible AI. She has been honored with the Sloan Fellowship\, MIT Innovators Under 35 (TR35)\, the Okawa Prize\, an NSF CAREER award and the Presidential Early Career Awards for Scientists and Engineers (PECASE). \nAbout the Talk: Co-hosted with the UC Berkeley College of Computing\, Data Science\, and Society and the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-cdss-and-bair-present-anca-dragan-on-ai-objectives/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/07/research-exchange-fall23-anca-dragan-1540x368px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231025T120000
DTEND;TZID=America/Los_Angeles:20231025T130000
DTSTAMP:20260414T224549
CREATED:20230801T004144Z
LAST-MODIFIED:20231024T165642Z
UID:47669-1698235200-1698238800@citris-uc.org
SUMMARY:POSTPONED: CITRIS\, CDSS and BAIR Present Timnit Gebru on Community-rooted AI Research
DESCRIPTION:This event will be rescheduled. Registered attendees will be notified by email when the new date is selected. \nTalk Title: “Independent Community-rooted AI Research” \nSpeaker: Timnit Gebru\, Founder and Executive Director\, Distributed AI Research Institute \n \nAbstract: The Distributed Artificial Intelligence Research Institute (DAIR) was launched in December 2021 by Timnit Gebru as a space for independent\, community-rooted AI research\, free from Big Tech’s pervasive influence. Unlike the current trend of centralizing power and claiming to build one giant model that serves the needs of everyone while stealing data and exploiting labor\, DAIR works on small task-specific models that serve the needs of specific communities. The organization shows that this approach not only outperforms current models from Big Tech corporations in applications like machine translation and automatic speech recognition\, but also serves to distribute power across the world in the hands of grassroots organizations. Instead of envisioning a future where technology is used to plunder resources\, colonize the cosmos and disenfranchise cultural workers\, DAIR urges technologists to use their skills to address the needs of communities that are often harmed by the race to build monopolies. \nSpeaker Bio: Timnit Gebru is the founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR). Prior to that she served as co-lead of the Ethical AI research team at Google. She received her Ph.D. from Stanford University\, and did postdoctoral work at Microsoft Research in New York City in the Fairness Accountability Transparency and Ethics (FATE) in AI group\, where she studied algorithmic bias and the ethical implications underlying projects aiming to gain insights from data. Gebru also co-founded Black in AI\, a nonprofit that works to increase the presence\, inclusion\, visibility and health of Black people in the field of AI\, and she serves on the board of AddisCoder\, a nonprofit dedicated to teaching algorithms and computer programming to Ethiopian high school students\, free of charge. \nAbout the Talk: Co-hosted with the UC Berkeley College of Computing\, Data Science\, and Society and the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-cdss-and-bair-present-timnit-gebru-on-community-rooted-ai-research/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/07/research-exchange-fall23-timnit-gebru-1540x368px.png
END:VEVENT
END:VCALENDAR