November 2024 - Ai - Engineering Mailing Lists

AI Seminar: "Principles for AI Governance"
by Abou Mrad, Christian 25 Nov '24

25 Nov '24

Dear all, A special AI seminar is scheduled for Tuesday, November 26. Talk details: AI Seminar: "Principles for AI Governance" Speaker: Kendrea Beers, Horizon Junior Fellow, Georgetown University, Center for Security and Emerging Technology Time: 12:00 PM Location: BEXL 321 and Zoom Zoom link: https://oregonstate.zoom.us/s/98357211915<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…> Event Description: Researchers at Georgetown University’s Center for Security and Emerging Technology (CSET) have identified three principles for effective AI governance: policymakers should 1) monitor the landscape of AI risk, 2) promote AI literacy among themselves and the public, and 3) develop policies that can adapt to rapid technological changes. Kendrea will unpack these principles and share insights on their implementation, highlighting topics such as sociotechnical AI safety and if-then commitments. Speaker Bio: Kendrea Beers is a Horizon Junior Fellow at Georgetown University’s Center for Security and Emerging Technology (CSET), where she works on the Foundational Research Grants team and the CyberAI Project. While completing her MS in Artificial Intelligence at Oregon State University, she conducted research in AI safety and co-led the AI Graduate Student Association. She also holds a BS in Philosophy with minors in Mathematics and Computer Science from the Oregon State University Honors College. She has conducted AI governance research at Cornell University and computer science research at Galois and the University of Notre Dame. For future AI seminars, please visit: https://engineering.oregonstate.edu/EECS/research/AI-seminars<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineeri…>. Best, Christian Abou-Mrad Graduate Student Oregon State University

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AI Seminar: "Challenges and Trade-Offs for Graph Neural Networks" by Dr. Mitchell Black
by Abou Mrad, Christian 21 Nov '24

21 Nov '24

Dear all, Our next AI seminar is scheduled for Friday, November 22. Talk details: AI Seminar: "Challenges and Trade-Offs for Graph Neural Networks" Speaker: Dr. Mitchell Black, NSF EnCORE Postdoctoral Scholar, University of California San Diego Time: 2:00 PM Location: KEC 1001 and Zoom Zoom link: https://oregonstate.zoom.us/s/98357211915<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…> Talk Abstract: Since their introduction around a decade ago, graph neural networks (GNNs) have quickly become the state-of-the-art method for many graph learning tasks. However, existing graph neural networks are known to suffer from various problems. For example, no known graph neural network are known to be perfectly expressive, so designing a graph neural network can be a matter of managing different trade-offs. In this talk, I will discuss several problems affecting graph neural networks. First, I will discuss a recent work on a problem called oversquashing, where a GNN struggles to send information between different nodes in the graph due to certain bottlenecks in the graph's topology. Our work presents a way to quantify which graphs are most susceptible to oversquashing and proposes techniques to remedy oversquashing by altering the graph's topology. After that, I will discuss challenges for using transformers as graph neural networks. Graph transformers rely on positional encodings to represent the graph, but the number of competing positional encodings has outpaced our ability to understand their differences. I will discuss ways of comparing these positional encodings and our recent work aimed at unifying some recent trends in the design of positional encodings. Speaker Bio: Mitchell Black is an NSF EnCORE Postdoctoral Scholar at the University of California San Diego. His research aims to understand problems in machine learning using the tools of theoretical computer science. He is particularly interested in the fields of graph neural networks, spectral graph theory, topology, and their intersections. He completed his PhD in Computer Science from Oregon State University in 2024. If you would like to meet with the speaker one-on-one, please email tadepall(a)oregonstate.edu<mailto:tadepall@oregonstate.edu> by Tuesday. For future AI seminars, please visit: https://engineering.oregonstate.edu/EECS/research/AI-seminars<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineeri…>. Best, Christian Abou-Mrad Graduate Student Oregon State University

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AI Seminar: "Curious Embeddings, Hazy Oracles, and the Path to Safe, Cooperative AI" by Dr. Jason Corso
by Abou Mrad, Christian 14 Nov '24

14 Nov '24

Dear all, Our next AI seminar is scheduled for Friday, November 15. Talk Details: * AI Seminar: "Curious Embeddings, Hazy Oracles, and the Path to Safe, Cooperative AI" * Speaker: Dr. Jason Corso, Professor of Robotics, Electrical Engineering, and Computer Science, University of Michigan * Time: 2:00 PM * Location: KEC 1001 and Zoom * Zoom link: https://oregonstate.zoom.us/s/98357211915<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…> Talk Abstract: Cooperation through safe and trustworthy communication and interaction is fundamental to how human teams accomplish complex tasks. Yet, despite significant--and sometimes revolutionary--advances in AI, we have barely begun to unlock the potential of safe, cooperative AI. This may stem from our limited understanding of how multimodal, large-scale AI models function, the one-sided nature of contemporary, fully-supervised AI approaches, or social concerns about human-AI collaboration. In this talk, I will delve into these layers of inquiry, beginning with a principled exploration of what the embeddings in large-scale foundation models reveal about the underlying problem and data, including new results disentangling sample-size from Bayes error and decision-boundary complexity. I will then introduce the concept of the human collaborator as a “hazy oracle”--a fallible partner rather than an omniscient information source--and establish a framework for modeling human-supplied error during collaboration. Building on these foundational insights, I will conclude with applications of these ideas to foster safe and effective human-AI collaboration in the health sciences. Speaker Bio: Jason Corso is Professor of Robotics, Electrical Engineering and Computer Science at the University of Michigan and Co-Founder / Chief Scientist of the AI startup Voxel51. He received his PhD and MSE degrees at The Johns Hopkins University in 2005 and 2002, respectively, and the BS Degree with honors from Loyola College In Maryland in 2000, all in Computer Science. He is the recipient of a U Michigan EECS Outstanding Achievement Award 2018, Google Faculty Research Award 2015, the Army Research Office Young Investigator Award 2010, National Science Foundation CAREER award 2009, SUNY Buffalo Young Investigator Award 2011, a member of the 2009 DARPA Computer Science Study Group, and a recipient of the Link Foundation Fellowship in Advanced Simulation and Training 2003. Corso has authored more than 150 peer-reviewed papers and hundreds of thousands of lines of open-source code on topics of his interest including computer vision, robotics, data science, machine learning, AI, and general computing. He is a member of the AAAI, ACM, MAA and a senior member of the IEEE. If you would like to meet with the speaker one-on-one, please email tadepall(a)oregonstate.edu<mailto:tadepall@oregonstate.edu> by Tuesday. For future AI seminars, please visit: https://engineering.oregonstate.edu/EECS/research/AI-seminars<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineeri…>. Best, Christian Abou-Mrad Graduate Student Oregon State University

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AI Seminar: Responsible AI with International Standards
by Abou Mrad, Christian 04 Nov '24

04 Nov '24

Dear all, Our next AI seminar is scheduled for Friday, November 8th. Talk details: AI Seminar: Responsible AI with International Standards Speaker: Rohit Israni, Founder and CEO, Certient AI Time: 2:00 PM Location: KEC 1001 and Zoom Zoom link: https://oregonstate.zoom.us/s/98357211915<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…> Talk Abstract: As artificial intelligence rapidly advances and becomes more pervasive in society, developing responsible AI practices and standards is crucial. This talk by Rohit Israni, Chair of INCITS/Artificial Intelligence (US AI standards national body that participates in ISO/IEC), will explore the current landscape of AI standards and guidelines for ethical AI development, with a focus on ISO/IEC 42001. The presentation will cover key aspects of ISO/IEC 42001, the world's first AI management system standard. It will examine important areas addressed by the standard, including AI governance, risk management, data protection, and continuous improvement. The talk will discuss how ISO/IEC 42001 provides a comprehensive framework for organizations to establish, implement, and improve their AI management systems. Students will gain insights into how ISO/IEC 42001 can help organizations navigate the complexities of AI management, ensuring that their AI systems are not only effective but also ethical, secure, and aligned with global standards. Speaker Bio: Rohit Israni is the founder and CEO of Certient AI<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcertient.…>. He is also the Chair AI Standards for the US national body responsible for developing US positions and contributions to international AI standards being developed by ISO/IEC (ISO/IEC JTC 1/SC 42). SC 42 is the preeminent global committee with participation from 50 countries on developing horizontal ICT AI Standards. Rohit is also the liaison for SC 42 with Organization of Economic Cooperation and Development (OECD). Prior to founding Certient AI, he led Intel’s global scale ecosystem enabling programs in the Developer Relations Division for AI, Datacenter and Network, of which he co-founded the AI partnership program (Intel AI Builders). Israni earned a master’s degree in engineering with a specialization in robotics and AI from Tulane University. He also holds a master’s degree in management science & engineering from Stanford University where he was a part of the Stanford Technology Ventures Program. If you would like to meet with the speaker one-on-one, please email tadepall(a)oregonstate.edu<mailto:tadepall@oregonstate.edu> by Tuesday. For future AI seminars, please visit: https://engineering.oregonstate.edu/EECS/research/AI-seminars<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineeri…>. Best, Christian Abou Mrad Graduate Student Oregon State University

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