AI Applications for
"Social Goods"

Workshop at

Announcement

The Italian Society for Neural Networks (SIREN) is delighted to announce the organization of a workshop at IJCNN 2025, dedicated to exploring the transformative power of Artificial Intelligence in addressing critical societal challenges. While recent advancements in AI have demonstrated extraordinary potential across diverse domains, this workshop focuses on channeling that potential toward creating meaningful social impact.
We invite researchers, practitioners, and innovators to join us in this unique and collaborative forum, where cutting-edge AI research meets practical applications for the betterment of society. Let’s shape the future of AI together, showcasing how our collective expertise can drive societal progress and improve the lives of all. Join SIREN in leading this vital conversation and demonstrating the true potential of AI for "social goods"!

We welcome high-quality contributions that explore, but are not limited to, the following areas:

  • Real-world Applications: AI solutions in healthcare, education, environmental sustainability, disaster management, public safety, and other domains with significant societal impact.
  • Fairness, Accountability, and Transparency: Frameworks, methodologies, and best practices for building ethical and trustworthy AI systems.
  • Interdisciplinary Approaches: Collaborative efforts integrating AI with disciplines like psychology, sociology, economics, public policy, and ethics to tackle pressing societal challenges.
  • Inclusivity and Accessibility: Cutting-edge innovations designed to enhance inclusivity, accessibility, and user empowerment in AI technologies.
  • Emerging Trends and Challenges: Explorations of new directions, challenges, and opportunities in aligning AI research with societal needs and ethical principles.

    Authors are invited to submit complete papers of up to eight (8) pages in the IEEE two-column format. The accepted papers will be considered for publication in the IJCNN 2025 proceedings on the IEEE Xplore Digital Library.

    • Invited Speakers

    Alexandre Alahi

    A prominent researcher in the fields of computer vision and machine learning, recognized for significant contributions to deep learning applications in video analysis and surveillance systems. He has authored numerous influential papers on topics such as object detection, tracking, and crowd behavior analysis. His work has enhanced the understanding and prediction of complex interactions in dynamic environments, leading to advancements in real-time analysis technologies. Through interdisciplinary projects, his research has bridged insights from computer vision, machine learning, and social sciences.

    Hermann Ney

    A renowned computer scientist and researcher, best known for his pioneering contributions to statistical machine translation (SMT) and automatic speech recognition (ASR). As a professor at RWTH Aachen University, he has authored numerous influential papers on probabilistic models for language processing, including the foundational IBM models for word alignment and translation. His work has significantly shaped the fields of natural language processing and machine learning, paving the way for modern advancements in neural machine translation and speech technologies.

    Organizers

    Giovanni Di Gennaro
    Giovanni Di Gennaro
    Amedeo Buonanno
    Amedeo Buonanno
    Anna Esposito
    Anna Esposito
    Francesco Palmieri
    Francesco Palmieri
    Gennaro Cordasco
    Gennaro Cordasco
    Eros Pasero
    Eros Pasero

    Important Dates

    March 20, 2025
    Paper Submission Deadline
    April 15, 2025
    Paper Acceptance Notification

    Author instructions

    1. Paper Length and Submission: Each paper should have 6 to MAXIMUM 8 pages, including figures, tables and references. Two additional pages per paper are allowed (i.e., up to 10 pages), at an additional charge of 100 $ per extra page.
    2. Submission Requirements: Submit your paper in PDF format via Microsoft CMT, using IEEE style files, formatted to A4 size (210mm x 297mm) in a double-column, single-spaced layout with #10 point Times Roman font, and without page numbers.
    3. Subject Area: Please, select as subject area AI Applications for "Social Goods"
    4. Double-Blind Review Process: The review process for IJCNN 2025 will be double-blind. It is mandatory to anonymize your paper. Any clues that may reveal author identities will be considered a violation and may lead to rejection.
    5. Plagiarism Policy: All submissions will be checked for plagiarism, and suspected papers may be desk-rejected; ensure your work is original and not under review elsewhere.
    6. AI-Generated Text Disclosure: If your paper includes AI-generated text, disclose this in the acknowledgements section and cite the AI system used in the relevant sections of the paper.

    IJCNN 2025 adopts Microsoft CMT as submission system, you can find detailed instructions on how to submit your paper here.

    In order to implement the double-blind policy, please use the following author statement in the latex file:

    \author{\IEEEauthorblockN{Anonymous Authors}}

    If you use Word, just use "Anonymous Authors” as authors’ names.