9:00  Welcome 

9:10-9:30  Show and Tell: Technologies, Processes and Trends Impacting Modern Elections
Short talks and demos by Prof. Matthew Wright (Fake News), Rochester Institute of Technology (RIT); Prof. Anita Nikolich (Security-Scam), University of Illinois Urbana-Champaign; Prof. Matthew Saltzman (Redistricting Analytics), Clemson University; Andrea Hickerson (National Narrative Center), University of Mississippi

09:30-10:30 Panel discussion A: AI non-use for elections
Panelists: Prof. Sriraam Natrajan, The University of Texas at Dallas (AI); Prof. Bryant Walker Smith, University of South Carolina (Law); Rachel V See, Senior Counsel, Labor & Employment, Seyfarth Shaw; Moderator: Prof. Anita Nikolich, University of Illinois Urbana-Champaign

11:00-12:00  Panel discussion B: AI use for elections
Panelists: Prof. Virginia Dignum, Umea University (AI); Prof. Bryant Walker Smith, University of South Carolina (Law); Josh Lawson, Aspen Institute; Moderator: Prof. Biplav Srivastava, University of South Carolina

12:00-12:15   Reviewed paper talk 1: Hriday Ranka, Mokshit Surana, Neel Kothari, Veer Pariawala, Pratyay Banerjee, Aditya Surve, Sainath Reddy Sankepally, Raghav Jain, Jhagrut Lalwani and Swapneel Mehta, Examining the Implications of Deepfakes for Election Integrity [paper, slides]

12:15-12:30   Reviewed paper talk 2: Tahniat Khan, Mizanur Rahman, Veronica Chatrath, Oluwanifemi Bamgbose and Shaina Raza, FakeWatch ElectionShield: Benchmarking a Framework to Detect Fake News for Credible US Elections [paper]

12:30  Morning session  - open discussion and wrap-up 

14:00-14:45   Invited talk 2: Boots on the Ground: Potential Impacts of AI and Data Science on

Election Support Activities, by Prof. Matthew Saltzman, Clemson University [slides]
Abstract: The League of Women Voters is a long-standing, nonpartisan, nonprofit organization engaged in voter services and advocacy for voting rights, secure, free, and fair elections, and effective government. We describe the activities we engage in to support those missions. As the state of the art in artificial intelligence, data science, and analytics advances, we consider the potential threats and opportunities the technology presents for our activities. What threats do we need to be aware of and how can we frame a response? Where are the opportunities to apply these technologies to improve election processes and voter engagement? Where could data scientists focus their research efforts to address these questions? We will endeavor to focus some of these questions.

14:45-15:00  Reviewed paper talk 3: Jabez Magomere and Scott Hale, Scaling Crowdsourced Election Monitoring: Construction and Evaluation of Classification Models for Multilingual and Cross-Domain Classification Settings information on submission [paper,slides]

15:00-15:15  Reviewed paper talk 4: Kausik Lakkaraju, Sara Elizabeth Jones, Bharath Muppasani and Biplav Srivastava, A Dataset of Generalizable Election-Related Questions for AI Tools Compiled from Leading Global Democracies [paper,slides]

15:15-15:30 Tool Demonstration: Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava and Michael N.Huhns, Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning, AAAI 2024 Demo [video,paper,slides]

  15:30  Afternoon session - open discussion and wrap-up 

16:00-17:00  Panel discussion C: AI enablement for elections
Panelists: Josh Lawson, Aspen Institute;  Prof. Anita Nikolich, University of Illinois Urbana-Champaign; Prof. Andrea Hickerson, University of Mississippi; Prof. Biplav Srivastava, University of South Carolina; Moderator: Prof. Matthew Wright, Rochester Institute of Technology (RIT)

17:00-17:30 Open Discussion: Research Enablement - Funding Opportunities
Lead discussants: Ott Velsberg, Chief Data Officer, Ministry of Economic Affairs and Communications, Republic of Estonia; Prof. Anita Nikolich, University of Illinois Urbana-Champaign and Ex-NSF Program Manager 

17:30  Closing remarks