Workshop info: https://sites.google.com/view/aielections

Submissions: https://easychair.org/conferences/?conf=ai4ce2023

Call for Papers: The AAAI 2023 Second Workshop on AI for Credible
Elections: A Call To Action with Trusted AI


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.

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 will 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

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 4, 2022

· Notification to authors: November 18, 2022

· Camera-ready copies of authors’ papers: November 20, 2022

· Early-bird registration to the conference: December 19, 2022

· Workshop date: February 13 or 14, 2022 (date to be announced)

Workshop Organizers

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

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