Workshop on Artificial Intelligence for Social Good
In Conjunction with
11th International Conference on Pattern Recognition and Machine Intelligence (PReMI'25)
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About the Workshop
About the Workshop
AI is rapidly evolving and entering a pivotal phase that will shape the future of society. As AI becomes part of everyday life, its development must align with the broader goal of serving humanity, a change toward what we call AI for social good.
The workshop will focus on two major aspects of AI for social good:
Directing AI research toward urgent societal challenges: We will examine how work ranging from foundational algorithms to deployed systems can address public-health surveillance, environmental sustainability, critical-infrastructure protection, and global cooperation. Topics include early-warning diagnostics in underserved regions, intelligent food-supply orchestration, climate-risk monitoring, equitable humanitarian-aid allocation, and multi-agent negotiation support for participatory governance.
Ensuring everyday AI operates responsibly: As AI-enabled services permeate finance, health care, mobility, and media, the community must guarantee that these systems are lawful, ethical, and trustworthy. Discussion will therefore cover governance frameworks and regulation—comparing requirements in the EU AI Act’s risk-based obligations for high-risk systems, the NIST AI Risk Management Framework 1.0’s guidance on trustworthiness, and the ISO/IEC 42001 management-system standard for organisational oversight, alongside global principles from the OECD and UNESCO, together with technical safeguards such as bias detection and mitigation, robustness and adversarial testing, privacy-preserving learning, continual monitoring, and red-teaming of generative models to prevent harmful or misleading outputs. We will also examine socio-technical evaluation and participatory design methods, including impact assessments, model cards, data sheets, and community co-creation processes to embed human agency, accessibility, and equity throughout the AI life-cycle, and reflect on deployment case studies that audit recommender systems, certify clinical decision support, verify autonomous-vehicle perception, or establish content-authenticity pipelines.
The workshop targets high-quality original papers related to technical innovation, deployment in a social scenario, challenges, and many more including, but not limited to, the following:
Human-centered AI for policy-making and civic engagement
AI for agriculture, food security, and supply chains
AI for smart and sustainable energy management
AI in digital humanities and cultural preservation
Tools, datasets, testbeds, standards, and case studies on AI for Social Good
AI for climate adaptation, environmental resilience, and sustainability
AI in education for equitable and inclusive learning
AI for social welfare, justice, and equality
Ethical, fair, and accountable AI systems
AI for healthcare, wellbeing, and public health
Call for Papers
Call for Papers
Submission Details
Paper submissions should follow PReMI 2025 submission guidelines and the paper length should be of 5 pages for the main content and 1 page for references.
All papers will undergo single-blind review process, and accepted paper will be presented at the workshop.
Submission link: https://openreview.net/group?id=PReMI/2025/Workshop/AI4SG
Important Dates
Paper Submission: Sept 15, 2025 Sept 30, 2025
Acceptance Notification: Oct 15, 2025 Oct 25, 2025
Camera-ready Submission: Nov 10, 2025
Workshop: Dec 11, 2025
Publication Details
At least one of the authors of an accepted paper must attend the workshop to present the paper.
All accepted papers from the workshop will be compiled into an edited volume.
The publication venue will be announced in due course.
Keynote Speakers
Keynote Speakers
Prof. Lipika Dey
Prof. Lipika Dey
Professor of Computer Science, Ashoka University, India
Workshop Organisers
Workshop Organisers
Dr. Abdul Wahid
Dr. Abdul Wahid is currently working as an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology (IIIT), Dharwad, India. He has previously held several academic and research positions, including Postdoctoral Researcher at the University of Galway (Ireland), Research Engineer at the University of Haute Alsace in Mulhouse (France), and Postdoctoral Fellow Telecom Paris, IP Paris in France. Dr. Wahid earned his Ph.D. in Computer Science and Engineering from IIT(ISM) Dhanbad. His research primarily centers on artificial intelligence, with particular interests in neural networks, reinforcement learning, anomaly detection, data stream analysis, multi-agent systems, and evolutionary computation.
Dr. Ioanna Miliou
Dr. Ioanna Miliou, a Senior Lecturer at Stockholm University. She is a member of the Data Science Research Group at the Department of Computer and Systems Sciences (DSV) of Stockholm University. She holds a Ph.D. in Computer Science from the University of Pisa, Italy, and a diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece. Her research interests lie in the fields of Data Science for Social Good, Nowcasting, and Forecasting, with the use of Big Data Analytics, Data Mining, and Machine Learning. Using Big Data deriving from everyday life as external proxies, it is possible to nowcast and forecast the evolution of phenomena whose study relies only on historical data or data that come with a significant lag. She works mainly on epidemics, healthcare, peace, and sentiment.
Dr. Lauri Lovén
Dr. Lauri Lovén, Lauri Lovén, D.Sc.(Tech) is a PI and the vice-director of the Center for Ubiquitous Computing (UBICOMP), University of Oulu, in Finland. He leads the Future Computing Group of 20 researchers and coordinates the Distributed Intelligence strategic research area in the 6G Flagship research program. He received his D.Sc. at the university of Oulu in 2021, was with the Distributed Systems Group, TU Wien in 2022, and visited the Integrated Systems Laboratory at the ETH Zürich in 2023. He is an associate editor at the SpringerNature Computing journal. His current research focuses on edge intelligence. He has co-authored 2 patents and 50 research articles in international journals, conferences, and workshops. Before and during his academic career, he has worked 20 years in the software industry, primarily with AI startups, as founder, CTO, board member, advisor, and mentor, among other roles.
Dr. Rimjhim
Dr. Rimjhim is a dedicated researcher in the field of Computer Science and Engineering, with a strong focus in computational social science, data analytics, and network science. Currently, she is working as a post doctoral researcher in Bocconi Institute of Data Science and Analytics (BIDSA) at Bocconi University, Italy. She has pursued her Ph.D. at the Indian Institute of Technology (IIT) Patna with research interests in areas of geographic data science leading to publications in top tier journals and conferences. She has worked in interesting topics of gender based violence, Point of Interest category tagging, and many more.
Program Committee Members
Program Committee Members
Hoang-Anh Ngo, The University of Sydney, Australia
Praveen Kumar Donta, Stockholm University, Sweden
Bimal Mandal, Indian Institute of Technology Jodhpur, India
Gurjot Singh Gaba, Linköping University, Sweden
Mian Ibad Ali Shah, University of Galway, Ireland
Javidan Abdullayev, Université de Haute Alsace, France.
Abhi Desai, Pace University, NY & New England College, NH (USA)
Bodhisatta Maiti, Staff Machine Learning Engineer, Home Depot, USA
If you are interested in serving on the programme committee, please get in touch with the organisers.
QUESTIONS?
QUESTIONS?
All enquiries should be sent to the workshop organizers at: ai4sg.organisers@gmail.com
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