AIDEM 2026

2nd International Workshop on Artificial Intelligence, Data Analytics and Democracy

Side event at ECML-PKDD 2026 Conference
September 7th 2026

Department of Electrical Engineering and Information Technology - University of Naples Federico II, Naples, Italy

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Call for papers

We are pleased to announce the AIDEM 2026: 2nd International Workshop on Artificial Intelligence, Data Analytics and Democracy, a critical gathering that aims to explore the transformative role of artificial intelligence (AI) in modern governance, public discourse, and democratic processes. As AI technologies continue to evolve, including generative AI systems, their influence permeates every aspect of our lives, from social media communication and content creation to decision-making in both public and private sectors. While AI promises numerous opportunities for improving efficiency, fairness, and public engagement, it also introduces significant challenges to democratic values, citizen privacy, and social integrity. This workshop brings together scholars, policymakers, industry experts, and practitioners to engage in discussions about the opportunities and risks posed by AI in the context of democracy. Topics of interest include, but are not limited to, the role of AI in social media ecosystems, disinformation, the regulation of algorithms, ethical concerns, content moderation, social justice, algorithmic fairness, and the implications of generative AI, including alignment, value diversity, and oversight. We aim to foster interdisciplinary dialogue that addresses the ethical, social, and political dimensions of AI technologies and offers solutions for balancing innovation with democratic principles.

  • AI and the Integrity of Online Information:
    • Integrity and Trust in Social Media Ecosystems
    • Disinformation and Deepfakes in Social Media
    • Content Moderation in Social Media
    • Coordinated Online Behavior
    • Polarization in Online Platforms
    • Effects of Recommender Algorithms on Social Media Users
  • Generative AI, Opinion Formation, and Democratic Values:
    • Generative AI in Social Discourse and Public Opinion
    • Measuring, Auditing, and Quantifying Ideological Bias in Generative Models
    • Steering, Alignment, and Control of Generative AI Systems
    • Pluralism, Neutrality, and Value Diversity in Generative AI
    • AI Companions and Personal Assistants: Trust, Dependency, and Democratic Risks
    • Regulation, Transparency, and Democratic Oversight of Generative AI
  • AI for Democracy, Governance, and Justice:
    • Regulation vs. Innovation in AI
    • AI and Data Analytics for Social Justice
    • Democracy in Justice and Crime
    • AI methods for implementing public consultation processes
    • Democratization of Social Services with AI
  • AI, Bias, and Societal Impact:
    • Ethical Aspects and Implications of AI in Democracy
    • Bias and Fairness in AI
    • Citizen Privacy in the Age of AI
    • Impact of Algorithms on Mobility
    • Overreliance on AI Undermines Accountability and Responsibility

Submission and publication

All contributions will be reviewed by at least three members of the Program Committee. All papers must be written in English and be in ECML PKDD 2026 LNCS submission format. The following kinds of submissions will be considered: research papers, tool papers, case study papers and position papers. Author instructions, style files, and the copyright form can be downloaded here:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

The following kinds of submissions will be considered:

  • Regular papers (12 - 16 pages including references) presenting novel original work not published or submitted elsewhere. Regular papers should be anonymized (double-blind review process) and formatted according to the ECMLPKDD 2026 guidelines (see link below). Accepted regular papers will be included in the Springer Workshop proceedings of ECMLPKDD 2026.
  • Short papers (6 - 11 pages including references) presenting work-in-progress and position papers. Short papers should be anonymized (double-blind review process) and formatted according to the ECMLPKDD 2026 guidelines (see link below). Accepted short papers will be included in the Springer Workshop proceedings of ECMLPKDD 2026.
  • Non-archival submissions presenting relevant work recently accepted or currently under submission/review at other venues. These submissions must include the authors' names and will not be included in the Springer workshop proceedings.

Accepted papers will be published after the workshop by Springer in a volume of Lecture Notes in Computer Science (LNCS). Condition for inclusion in the post-proceedings is that at least one author per accepted paper has presented the paper at the workshop in-person. Pre-proceedings will be available online before the workshop. We also allow accepted papers to be presented without publication in the conference proceedings, if the authors choose to do so. Some of the full paper submissions may be accepted as short papers after review by the Program Committee.

The submission link is:
https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Submission/Index (choosing the right track corresponding to AIDEM 2026 Workshop).

Important dates

Jun 05 2026

Submission deadline

Jul 10 2026

Accept/Reject Notification

Jul 20 2026

Camera-ready deadline

Sep 7 2026

Workshop

Program Co-Chairs

cresci

Stefano Cresci

IIT - National Research Council
Italy

knott

Tijl De Bie

Ghent University
Belgium

mannocci

Lorenzo Mannocci

University of Pisa
Italy

monreale

Anna Monreale

University of Pisa
Italy

Keynote Speaker

David Caamacho

David Camacho

Universidad Politécnica de Madrid
Spain

Title TBD


Abstract

TBD


Bio

Head of the Applied Intelligence and Data Analysis (AIDA) research group. His research focuses on Multi-Agent Systems, Swarm Intelligence, Machine Learning, and Computational Intelligence. Editor-in-Chief of Expert Systems (Wiley) and the International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI). His current research explores agentic aerial intelligence, studying how autonomous UAVs integrate reasoning and memory to cooperate in applications such as disaster response and infrastructure inspection.

Program Committee

  • Guillaume Bied (Ghent University)
  • Elisabetta Biondi (IIT-CNR)
  • Lorenzo Cima (University of Pisa)
  • Jordi Guillem Condom Tibau (University of Pisa)
  • Eoghan Cunningham (University College Dublin)
  • Tiziano Fagni (IIT-CNR)
  • Yousra Fettach (Ghent University)
  • Gizem Gezici (Scuola Normale Superiore)
  • Diletta Goglia (Uppsala University)
  • Matteo Magnani (Uppsala University)
  • Edoardo Loru (Sapienza University of Rome)
  • Giovanni Mauro (Scuola Normale Superiore)
  • Marco Minici (ICAR-CNR)
  • Virginia Morini (University of Pisa)
  • Jacopo Nudo (Sapienza University of Rome)
  • Georgios Panayotou (Uppsala University)
  • Valentina Pansanella (ISTI-CNR)
  • Laura Pollacci (University of Pisa)
  • Andrea Pugnana (University of Trento)
  • Giulio Rossetti (ISTI-CNR)
  • Eugenia Siapera (University College Dublin)
  • Alina Sirbu (University of Bologna)
  • Serena Tardelli (IIT-CNR)
  • Benedetta Tessa (University of Pisa)

Program

TBD

Registration

The registration to the workshop is managed by the ECML-PKDD main conference at
https://ecmlpkdd.org/2026/attending-registration/

Partners

TANGO

Europe
The AIDEM event is partially supported by the European Union under Grant Agreement no. 101120763 - TANGO. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HaDEA). Neither the European Union nor the granting authority can be held responsible for them.

DEDUCE

Europe
The AIDEM event is partially supported by the European Union – NextGenerationEU within the ERC project DEDUCE (Data-driven and User-centered Content Moderation) under grant #101113826.

VIGILIA

Italy
The AIDEM event is partially supported by European Union ERC, VIGILIA, 101142229.

SoBigData IP

Italy
This work is supported by the European Union under the scheme HORIZON-INFRA-2025-01-DEV-02 - Early phase implementation of ESFRI Projects that entered the ESFRI Roadmap in 2021, Grant Agreement n.101292277, “SoBigData IP: SoBigData Implementation Phase”.

Contacts

All inquiries should be addressed to:

Email: lorenzo.mannocci@di.unipi.it