We invite papers that describe innovative use of AI technology or techniques in election processes. The workshop is intended to provide a forum for discussing new approaches and challenges in building AI that people trust and use for critical applications that power society - conducting elections, and for exchanging ideas about how to move the area forward.

Description: Artificial Intelligence and machine learning have transformed modern society. It also impacts how elections are conducted in democracies, with mixed outcomes. For example, digital marketing campaigns have enabled candidates to connect with voters at scale and communicate remotely during COVID-19, but there remains widespread concern about the spread of election disinformation as the result of AI-enabled bots and aggressive strategies [1a-b,2a-d,3a-i].

In response, we conducted the first workshop at Neurips 2021 to examine the challenges of credible elections globally in an academic setting with apolitical discussion of significant issues. The speakers, panels and reviewed papers discussed current and best practices in holding elections, tools available for candidates and the experience of voters. They highlighted gaps and experience regarding AI-based interventions and methodologies. To ground the discussion, the invited speakers and panelists were drawn from three International geographies: US - representing one of the world’s oldest democracies; India - representing the largest democracy in the world; and Estonia - representing a country using digital technologies extensively during elections and as a facet of daily life. The workshop had contributions on all technological and methodological aspects of elections and voting.

At AAAI 2023, we run the second edition of the workshop.

The workshop welcomes contributions on all aspects of elections and voting, but especially focus on the use of AI in the following:

• For election candidates

  •     Organizing candidate campaigns

  •     Detecting, informing and managing mis and disinformation

• For election organizers

  •      Identifying and validating voters

  •      Informing people about election information

• For voters

  •      Knowing about election procedures

  •      Verifying individual and community votes

  •      Navigating candidates and issues

• Cross-cutting

  •      Promoting transparency in the election process

  •      Technology for data management and validation

  •      Case-studies of success or failure, and the reasons thereof

The intended audience of the workshop are students, academic researchers, professionals involved in technology for election management and informed voters.

Paper preparation instructions

Submission Format: either extended abstracts (4 pages) or full papers (7 pages) anonymised using the AAAI 2023 style guidelines found here.

All accepted papers will be presented in a virtual poster session. We welcome articles currently under review or papers planned for publication elsewhere. Submissions site: https://easychair.org/conferences/?conf=ai4ce2023 

Upload your paper here: https://easychair.org/conferences/?conf=ai4ce2023

Program/Presentation Format: See program page 

Publication: Select papers will be considered for a forthcoming special issue of the AI Magazine of “AI for Credible Elections” in 2023.  All accepted papers will be made available online on the workshop website and will count as non-archival reports to allow submissions to future conferences/journals. 

Important Dates

Workshop paper submissions due: November 11, 2022          (*Extended*)

Notification to authors: November 22, 2022          (*Extended*)

Camera-ready copies of authors’ papers: December 1, 2022

Early-bird registration to the conference: December 12, 2022

Workshop date: February 14, 2022

Workshop Organizers

Biplav Srivastava (University of South Carolina), Anita Nikolich (University of Illinois-Urbana Champaign), Andrea Hickerson (University of Mississippi), Tarmo Koppel (Tallinn University of Technology), Chris Dawes (New York University), Sachindra Joshi (IBM Research)