The workshop schedule can be found at this link.
Workshop papers approved for public viewing can be found here.
Please note that the workshop is non-archival.
The AI for Public Missions workshop aims to convene a community of scientists, engineers and practitioners with public missions to better leverage AI towards challenging problems of societal importance. This includes the efforts of federal, state, and local governments, and non-partisan, non-governmental organizations.
As governments continue to leverage AI to achieve mission goals, numerous hurdles are certain to emerge that limit its successful application. Publicly-funded research should ideally balance support for topics that address these challenges that hinder AI serving public needs, as well as commercial and industry challenges.
This event will create a unifying venue between stakeholders to help understand real world challenges and advance potential solutions. It aims to cross between use-inspired foundational research, applied research, and case-studies that document successful processes by which AI has been deployed and responsibly governed.
Both technical and operational submissions are encouraged around the topic areas below. Technical topics include the science, engineering, and processes relevant to the development and deployment of AI for the uniquely complex applications and use-cases found in public service and government environments. Operational topics address the business use cases, workflows and applications of potential public service activities for which AI might have a transformational impact.
Both technical and operational submissions are encouraged around the topic areas. Technical topics include the science, engineering, and processes relevant to the development and deployment of AI for the uniquely complex applications and use-cases found in public service and government environments. Operational topics address the business use cases, workflows and applications of potential public service activities for which AI might have a transformational impact.
Data integrity, provenance and quality;
Publicly available datasets.
Testing, Evaluation, and Verification and Validation;
Self-updating models.
Trustworthy AI;
Human-centered AI;
AI training and workforce development.
Government initiatives in AI and Autonomy;
Challenge problems and grand challenges.
Workshop activities will include keynote talks, panels, and lighting presentations. Depending on the extent of government and NGO attendance, breakout sessions might be added.
The conference also seeks to strengthen norms around the application of responsible research practices, such as risk-mitigation efforts and safety- or rights- impact statements.
Two submission options aim to enable government groups and NGOs to participate, though they might not have the ability to publish technical papers.
To foster dialogue between academic and public mission groups, all submissions should include an “Application Context” section of 1-2 paragraphs addressing relevant items listed below.
For submissions on operational topics (see definition in Topics)
What is trying to be accomplished?
How it is done today?
What technologies have been brought to bear already if any?
What new capabilities or functionality are needed?
What kind of data or feedback might be available to leverage?
For submissions on technical topics (see definition in Topics)
What does it do?
What is an application that it might be used for?
What applications has it been used for?
What attributes or properties does it have that might make it a good/bad fit for specific public missions?
Academic Researchers:
Technical papers: Full-length research papers of up to 7 pages (excluding references and appendices).
Short papers: research/position papers of up to 4 pages (excluding references and appendices).
Government/NGOs:
Proposals for lighting session presentation on work of government body or organization. 1-page limit.
Proposals for breakout sessions: 2-page limit.
Poster session tabling activities (laptops with slides / hands-on demonstrations): 2-page limit.
Research or position papers*: 4-page limit (excluding references and appendices).
* Technical papers and short papers must be submitted according to the format guidelines described in the Author Kit.
Academic submissions will be reviewed through a double-blind process. Submitted PDF files should not include any identifiable information of authors. All submissions must be made through the CMT portal. Technical papers and short papers must be submitted according to the format guidelines described in the AAAI Author Kit.
Government/NGO submissions:
Proposals for lightning sessions, breakout sessions, and poster session tabling activities will be evaluated by the committee through an open review process. Submissions should be emailed to publicmissionai@gmail.com
Research or position papers will be reviewed through a double-blind process. Submitted PDF file should not include any identifiable information of authors. All submissions must be made through the CMT portal. Technical papers and short papers must be submitted according to the format guidelines described in the AAAI Author Kit.
For questions, lease contact: publicmissionai@gmail.com
December 18th: Workshop Submissions Due to Organizers.
January 3rd – Organizers send acceptance/rejection letters to participants, including allotted page lengths.
March 3rd: Workshop held in Philadelphia at AAAI 39
Cynthia Rudin, Professor of Computer Science, Duke University (speaker)
Michael Morgan, Former Assistant Secretary of Commerce for Environmental Observation and Prediction (Panelist)
Dana Weinstein, Professor of Electrical and Computer Engineering, Purdue University (Panelist)
Michael Littman, Director, Division of Information and Intelligent Systems, NSF
Avital Percher (co-chair), Health Innovation Advisor, Avantiqor. Former Responsible AI Official, NSF. apercher@gmail.com
William Regli (co-chair), Professor at UMD College Park regli@umd.edu
Jaret C. Riddick, Senior Fellow at the Center for Security and Emerging Technology (CSET). Former Principal Director for Autonomy in the Office of the Under Secretary for Research and Engineering (OUSD(R&E))
Adam Russell, Director, Artificial Intelligence Division, USC Information Sciences Institute
Recommendations for relevant materials are welcome! Please send to publicmissionAI@gmail.com
AI Aspirations: R&D for Public Missions: A White House conference held in June 2024.
Ahmed et al. "The growing influence of industry in AI research". Science. 2023
Lin et al. ""Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good Partnerships". Arxiv. 2024
Osborne, et al. "The AI community building the future? A quantitative analysis of development activity on Hugging Face Hub". J Comput Soc Sc. 2024.