AI Institutes Virtual Organization

Workshop on Knowledge-Guided ML (KGML2024)
2024-08-07 | McNamara Alumni Center, University of Minnesota Twin Cities, 200 Oak Street SE, Minneapolis, MN, 55414, United States
A Framework for Accelerating Scientific Discovery
Explore the depth and diversity of research methodologies being explored in knowledge-guided machine learning (KGML) for a wide range of scientific applications, as well as the gaps in the current state of KGML research providing novel opportunities to advance AI foundations while accelerating discoveries in problems of high societal relevance.

INVITEd Talk: Understanding Ethics of AI
2024-07-30 11:30 - 13:00 (America/Los_Angeles)
Join us via Zoom for a talk to introduce the main issues and themes pertaining to the ethics of AI, featuring Clayton Peterson, Associate Professor of Philosophy, Université du Québec à Trois-Rivières.
Analyzing what the ethics of AI are by reflecting on our understanding of both ethics and AI, the aim of this session is to clarify and expose how the ethics of AI can be conceived in different ways depending on the approach adopted. Using concrete examples, the objective is to introduce various issues that can be found within the ethics of AI literature, allowing researchers to reflect upon their own research and practice. Specific examples relating to AI in education, such as the use of generative AI tools (e.g., ChatGPT), will be discussed.
Learn more at: www.uqtr.ca/Chaire.Ethique.IA

AI for Agriculture Summit: A Visioning Conference
2024-07-29 - 2024-07-30 | Washington, D.C.
Envision How AI Can Tackle Critical Global Challenges in Ag
There is a pressing need for agricultural innovation to meet the demands of a growing global population amidst challenging environmental conditions. Attendees at the AI for Agriculture Summit will help develop a long-term technical vision and implementation strategy for leveraging agricultural AI advancements, starting with a white paper to share recommendations based on discussions held during the summit.
This invite-only conference will explore how foundational AI advances can tackle critical global challenges in agriculture. You will have the opportunity to connect with experts from academia, industry, NGOs, and government agencies.
Hosted by the five USDA National AI Institutes — AIFARMS, AIFS, AgAID, AIIRA, and AI-CLIMATE — the program focuses on big-picture ideas and challenges in ethical AI research relevant to agriculture and will highlight the importance of investing resources into AI-for-Agriculture to benefit partners across disciplines.

AI2ES Talks: Measuring Sharpness of AI-Generated Meteorological Imagery
2024-07-17 10:00 - 11:00 (America/Los_Angeles)
Featuring Imme Ebert-Uphoff (CSU/CIRA), this one-hour talk focuses on Measuring Sharpness of AI-Generated Meteorological Imagery.

Responsible AI in Education: Release and Discussion of the Department of Education’s New Guide for Developers
2024-07-08 10:00 - 11:00 (America/Los_Angeles)
Join this Zoom webinar to hear from senior leadership in the U.S. Department of Education about their newly released document, “Designing for Education with Artificial Intelligence: An Essential Guide for Developers.”

Workshop | Machine Learning for Science & Engineering
2024-06-24 - 2024-06-25 | University of Washington
Physics-informed Machine Learning (ML) continues to emerge as a leading paradigm integrating artificial intelligence (AI) with engineering dynamic systems. This approach provides new capabilities in real-time sensing, learning, decision-making, and predictions that are ethical, efficient, reliable, safe, and imbued with uncertainty quantification. The foundations of physics-informed ML are rooted in four key disciplines: (i) control theory, (ii) probability and statistics, (iii) optimization, and (iv) dynamical systems (modeling). The integration of all four disciplines is critical for the development of ML algorithms that can be leveraged by engineered systems. Establishing rigorous mathematical connections between these disciplines is a driving inspiration for our efforts in reframing the foundations of ML for the engineering sciences.
Coming up on June 24-25, 2024, The AI Institute in Dynamic Systems is offering our annual workshop with teamwork focused activities on themes in Machine Learning for Science & Engineering, held at the University of Washington, Seattle Campus. Check out our website for more information.

ICICLE Seminar Series featuring Professor Laura Schmidt and Dr. Amarnath Gupta
2024-06-13 12:00 - 13:00 (America/New_York) | Zoom webinar
The ICICLE Seminar Series is happy to announce the next set of speakers for June 13th, 2024: Professor Laura Schmidt from UCSF and Dr. Amarnath Gupta from the San Diego Supercomputer Center will be joining us to talk about NSF Convergence Accelerator Track J Award entitled NOURISH, the Network Of User-Engaged Researchers building Interdisciplinary Scientific Infrastructures for Healthy food. This seminar will feature two talks, one from the domain science perspective, and one from the AI/CI perspective to describe the why, what, and how the NOURISH platform is being developed to solve food system inequities.
When: Thursday, June 13, 12:00 – 1:00PM EST
Join Zoom Meeting
https://osu.zoom.us/j/93195486710?pwd=[REDACTED]

Dynamics AI: Data-Driven Science & Engineering Seminar Series
2024-06-13 11:00 - 12:00 (America/Los_Angeles) | University of Washington
Join us for our ongoing Data-Driven Science & Engineering Seminar Series organized by the AI Institute in Dynamic Systems. Visit our website to sign up for the seminar mailing list to receive future announcements and to view recordings from past events!

ICICLE & OSU CSE Distinguished Seminar Series
2024-05-09 12:00 - 13:00 (America/New_York)
We invite you to join us for a joint ICICLE & OSU CSE Distinguished Seminar Series on Thursday, May 9 at Noon, EST featuring Prof. B.S Manjunath from the University of California, Santa Barbara. He will present his work on Bisque, a robust, open-source cloud-based platform designed for reproducible computer vision.
Click to access icicle-seminar-manjunath_05092024-1.pdf

AAAI 2024 Spring Symposium Series
2024-03-25 - 2024-03-27 | Stanford University
AAAI 2024 Spring Symposium Series will be hosted at Stanford University on March 25-27, 2024 as part of the Association for the Advancement of Artificial Intelligence (AAAI) conference.
The conference will include the following eight symposia:

Bi-directionality in Human-AI Collaborative Systems
Clinical Foundation Models Symposium
Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024)
Federated Learning on the Edge
Impact of GenAI on Social and Individual Well-being
Increasing Diversity in AI Education and Research
Symposium on Human-Like Learning
User-Aligned Assessment of Adaptive AI Systems

Register to attend at the AAAI Spring Symposium website.
Call for Papers
The “Increasing Diversity in AI Education and Research” symposium topics include (1) AI at Minority-Serving Institutions (MSIs), (2) AI for Good, and (3) Addressing Digital Inequality. Interested presenters should submit abstracts by January 2nd followed by either full papers (8 pages maximum) or extended abstracts (2 pages maximum) by February 19th. Submissions are not required for attendance.
More details for paper submission for the “Increasing Diversity in AI Education and Research” symposium can be found at the symposium website: https://sites.google.com/uncc.edu/aaai-diversity-in-ai-education/home
For questions regarding paper submissions, please reach out to Dr. Jodi Reeves, (jreeves@nu.edu) from TILOS and National University or Dr. Jamie Payton (payton@temple.edu) from INVITE Institute and Temple University.

TILOS webinar on AI Ethics in Research - Friday 3/8 at 12:00 p.m. PST
2024-03-08 12:00 - 13:00 (America/Los_Angeles) | Zoom webinar
Tune into The Institute for Learning-enabled Optimization at Scale (TILOS)’s webinar on AI Ethics in Research.
Attendees will learn frameworks for integrating ethics into AI development, strategies for measuring bias and fairness, and gain insights into how optimization can reveal and mitigate societal biases in AI algorithms. Follow the link below for more information:
https://tilos.ai/events/ai-ethics-in-research-webinar/

AgAID Seminar Series: Strategic Science Communication & Artificial Intelligence
2024-03-01 - 2024-04-19
Join AgAID for a three-part seminar series delving into public perception and engagement with evolving AI technology.

In this seminar series, Science Communication Specialist, Dr. Alex Kirkpatrick, will address challenges, opportunities, research, and best practices in communicating about AI. See below for event times and Zoom links.
03/01/2024, 9-10 a.m. PST: On the Public Understanding of AI [Zoom link]
03/15/2024, 9-10 a.m. PST: Research Presentation [Zoom link]
04/19/2024, 9-10 a.m. PST: AI Communication Strategies and Best Practices [Zoom Link]

Workshop: Common Task Framework for Science and Engineering
2024-02-20 - 2024-02-21
Machine learning and AI are used broadly in science and engineering, with a tremendous diversity of architectures and algorithms being developed across disciplines and applications. The AI Institute in Dynamic Systems aims to build a common task framework (CTF) for evaluating algorithms with an overarching goal to develop a taxonomy of enabling architectures and algorithms for the various tasks required in applications, including estimation, forecasting, sensing and control. This is in keeping with our mission to build and support sustainable challenge data sets for evaluating tools for solving modern problems in science and engineering.
Join us in person (or online) for our workshop on the CTF for Science and Engineering!

IESP webinar
2024-02-12 12:00 - 13:00 (America/New_York) | Zoom webinar
To help clarify the vision of the AIVO expansion program International Engagement Support Program and help Institutes identify how this funding support might advance their work, Ryan Burns is hosting a webinar next month where he will give a brief overview of the program and then answer your questions. The Zoom link is below. Hope to see you there! And please feel free to shoot Ryan your questions in the meantime.
Ryan Burns is inviting you to a scheduled Zoom meeting.
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SAIL - Summit for AI Institutes Leadership
2023-10-23 - 2023-10-26
Announcing the upcoming SAIL ’23 Leadership Summit in Atlanta, Georgia.
Register here: https://na.eventscloud.com/website/57313/

National AI Research Institutes Congressional Showcase
2023-09-18 - 2023-09-19 | Washington, D.C.
The National Science Foundation will host NSF AI Day on Monday, September 18 and an AI Hill Day on Tuesday, September 19, 2023 in Washington, D.C. These events are an opportunity for the 25 NSF AI Institutes to showcase their research, accomplishments, and programs to members of the legislature (both Congress and the House).

Learn more about the NSF AI Institutes in the AI Institutes Hill Day Booklet.

ICICLE Seminar Series: The Social Implications Of Digital Agricultural Technologies For Small Farmers - What Do We Know And Need To Know About .
2023-08-10 12:00 - 13:00 (America/New_York)
Speaker: Jenny Melo-Velasco, Ph.D. , Social Scientist, Center for Regenerative Agriculture, University of Missouri
Thursday, August 10, 2023 at Noon ET
Join Zoom Meeting: https://osu.zoom.us/j/98974144548?pwd=[REDACTED]
Abstract: Digital agriculture proposes to revolutionize the processes of production, marketing, and consumption within food systems through the use of tools that collect, store, analyze, and share information digitally. While its proponents emphasize potential benefits, such as improved technical efficiency, resource allocation, and reduced transaction costs, the understanding of the risks and challenges associated with its implementation remains limited. This presentation offers applied scholars and practitioners a practical view to understand key questions on digitalization in agriculture and to organize the main socio-ethical implications that might be considered when promoting digital agricultural technologies.
Bio: Jenny Melo-Velasco is a Postdoctoral Researcher at the Center for Regenerative Agriculture at the University of Missouri. She is also a Visiting Researcher at the Alliance of CIAT and Bioversity, and Cofounder of Huella Delta —a social business based in Colombia, focused on improving market linkages for rural communities. She is an applied researcher interested in inclusive business models and digital agricultural technologies reaching small farmers. Jenny has over thirteen years of experience working with businesses, NGOs, and farmers’ organizations leading knowledge management projects on inclusive business, social innovation, and green businesses. Her work draws from her academic training and experience as a consultant, researcher, and entrepreneur in Colombia and Latin America.

ICICLE Seminar Series: Online Fairness Auditing through Iterative Refinement
2023-07-27 12:00 - 13:00 (America/New_York)
Presentation Title: Online Fairness Auditing through Iterative Refinement
Time: Jul 27, 2023 12:00 PM Eastern Time (US and Canada)
Join Zoom Meeting
https://osu.zoom.us/j/94365864594?pwd=[REDACTED]
Speaker Bio:
Pranav Maneriker is a PhD Candidate at The Ohio State University. His research interests are in natural language processing and graph representation learning with applications to trustworthy computing. His work has been featured in various leading conferences including ACM SIGKDD, EMNLP, and the Web Conference (including a best paper award). Prior to Ohio State, Pranav received his BTech in Computer Science from IIT Kanpur and spent a couple of years at Adobe Research. He is a recipient of the 2023 Graduate Research Award at CSE@ The Ohio State University.
Srinivasan Parthasarathy is a Professor in Computer Science and Engineering at The Ohio State University. His research interests are broadly in the space of data mining, database systems, network science and high performance computing. A recent focus of his is in the space of responsible data science – where he co-leads a community of practice on this theme. His work has been featured in leading conferences and journals in the field including 15 best paper awards or best-of-conference selections at venues such as VLDB, ACM WWW, ACM WSDM, ACM SIGKDD, IEEE ICDM, SIAM SDM, ACM BCB and ISMB. Prior to Ohio State Prof. Parthasarathy was at Intel Research and at the University of Rochester (where he received his PhD). Prof. Parthasarathy is a fellow of the IEEE, the Asia Pacific Artificial Intelligence Association and the Risk Institute.
Abstract: A sizable proportion of deployed machine learning models make their decisions in a black-box manner. Such decision-making procedures are susceptible to intrinsic biases, which has led to a call for accountability in deployed decision systems. In this work, we present a first-of-its-kind practical system (AVOIR) for the auditing of (deployed) black-box AI models against various fairness criteria. AVOIR permits the user to flexibly design and specify the fairness criterion (including non-binary and intersectional notions of fairness) they want to audit within a custom domain specific language (DSL). It then relies on the mathematical notion of confidence sets to facilitate the runtime monitoring of probabilistic assertions over said fairness metrics on the corresponding decision functions associated with modern AI models. AVOIR enables the automated inference of probabilistic guarantees and the visual exploration of fairness violations aligned with recent regulatory requirements. In this talk we will describe the AVOIR system and then we will illustrate through case studies how AVOIR can help detect and localize fairness violations and help model designers and ML engineers ameliorate such issues.

ICICLE Seminar Series: "Creation of Climate-Smart and Market-Smart entities using Data-driven, Sky-Earth Convergence"
2023-06-12 10:00 - 11:00 (America/New_York)
Dr. Srinivasu Pappula Ph.D., CISSP will present “Creation of Climate-Smart and Market-Smart entities using Data-driven, Sky-Earth Convergence” at the ICICLE Seminar Series

Farm Robotics Challenge
2023-06-03 08:00 - 17:00 (America/Los_Angeles) | UC Davis, 1 shields drive, Davis, CA, 95616, United States
As part of AIFS, on Saturday, June 3, 2023, the results of the inaugural Farm Robotics Challenge will be announced. This event will be held on the UC Davis campus. More details forthcoming.

Black Farmers and Regenerative Technology: Past Successes, Current Projects with Implications for the Future
2023-04-18 15:00 - 16:00 (America/Chicago)
Join AIFARMS for our monthly seminar series during the Spring semester on Tuesday, April 18 at 3:00 pm CST to hear from Dr. Raymon Shange, 1890 Extension Administrator, Director of the Carver Integrative Sustainability Center (CISC), and Associate Dean of Agriculture and Environmental Sciences in the College of Agriculture, Environment and Nutrition Sciences at Tuskegee University, who will be presenting “Black Farmers and Regenerative Technology: Past Successes, Current Projects with Implications for the Future” This event will be virtual.
Seminar link: https://go.illinois.edu/AIFARMSSeminarSeries

AIFS Speaker Series
2023-03-29 12:00 - 13:00 (America/Los_Angeles) | UC Davis, 1 shields drive, Davis, CA, 95616, United States

SAIL – Summit for AI Institutes Leadership
2022-12-12 08:00 - 2022-12-15 17:00 (America/Los_Angeles) | Asilomar Hotel and Conference Grounds, 800 Asilomar Avenue, Pacific Grove, CA, United States
The NSF and USDA-NIFA funded 18 AI institutes, who are carrying out a broad spectrum of research of critical importance to US competitiveness, food security, public safety and education, and myriad other targets. The 2022 SAIL conference is the inaugural opportunity for significant interactions, discussions, and connections to be built among institutes’ researchers and staff.
