The 3rd International Workshop on AI-for-Good: AI for a Better Society (AI4Good 2026)
Artificial Intelligence (AI) is transforming every aspect of our lives—how we work, communicate, learn, make decisions, and interact with the world around us. As AI continues to evolve and integrate into critical societal infrastructures, it brings unprecedented opportunities and challenges. This workshop focuses on recent innovations and research advances that leverage AI for maximizing positive societal impact. We welcome scientific contributions from the broad research areas of AI, Data Science, and Information Systems that aim to build AI solutions that are fair and inclusive, respectful of human rights, trustworthy and transparent, and that promote environmental sustainability and societal prosperity.
AI-for-Secure and Safe Societies
- Biases and vulnerabilities of AI systems.
- Fairness, transparency, accountability, and ethics in AI systems and applications
- Privacy-preserving AI and data protection mechanisms.
- Secure and robust AI systems for critical applications.
- Detecting and combating misinformation, fake news, and disinformation.
- Safe and Responsible AI.
- Security and privacy of machine learning and AI applications.
- AI in Cyber Security.
- Game Theoretic and Multi-agent Security Approaches
- Human Behavioral Modeling.
AI-for-Social Impact
- AI Applications for social good.
- Contribution of web technologies to UN Sustainable Development Goals.
- AI for addressing societal challenges (education, accessibility, social inclusion)
- AI for environmentally sustainable development.
- AI-driven solutions for humanitarian crises and disaster response.
- AI tools for empowering vulnerable and marginalized communities.
- Mitigating bias and discrimination in AI models and decision-making.
- Human-centered and ethical recommender systems.
AI-for-Health
- Multimodal AI in Healthcare
- AI for healthcare and well-being.
- Generative AI and Foundational Models for Healthcare.
- Explainable and Trustworthy AI for Decision Support.
- AI and Data Integration in healthcare.
- AI and Big Data Analytics in Healthcare
- AI for diagnosis and treatment.
- Privacy preserving AI for healthcare.
- AI for drug discovery.
- Digital Twins / Personalized AI Models.
- Knowledge Representation in Medicine or Healthcare.
- AI for Inclusion, Accessibility and Well-Being of Vulnerable Populations.
- AI and Data Management in Health and Medicine
AI for the Web
- AI and data science for the Web.
- Large language models for search.
- Retrieval-Augmented Generation (RAG) and multi-modal RAG.
- Agentic search.
- Natural language understanding for Web search.
- Web question answering.
- Assisted, interactive, and conversational search.
- Large Language Models (LLM) for user modeling and recommendation
AI-for-Education
We invite research on advances in AI applied to educational tasks and domains, including, but not limited to, novel student models, intelligent learning environments, automated assistants, instructional support, etc.
AI Applications for better societies
The best papers will be invited for publication in the journals:
- Computing,
- The World Wide Web (WWW J),
- Expert Systems,
- SN Computer Science.
(After following a round of extension and revision).
All submissions for this workshop must be written in English and conform to the Springer proceedings format with the following page limits: 12 pages for papers including references. Submitted papers will undergo a “double-blind” review process, coordinated by the Program Committee. To ensure anonymity of authorship, authors must ensure that authors’ names, affiliations, funding, and any other identifying information of authorship do not appear on the title page or elsewhere in the paper. Authors must provide the complete and final list of authors at the submission stage. No addition, removal, or change in the order of authors is allowed after submission.
Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
All paper submissions for this workshop will be via Microsoft CMT (under “The 3rd International Workshop on AI-for-Good: AI for a Better Society”).
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
| Submission Deadline (extended) | |
| Authors Notification (revised) | |
| Final Manuscript Due | 25 August 2026 |
*All deadlines are 23:59 Anywhere on Earth.
- Mahmoud Barhamgi, Qatar University, <[email protected]>
- Saeed Salem, Qatar University, Qatar
- Mahmoud Barhamgi, Qatar University, <[email protected]>
