The workshop proceedings SIAI 2025 constitutes the refereed proceedings of the fourth International Workshop on Social Impact of AI, SIAI 2025, which was held in Philadelphia, PA, USA, in March 2025.
The 8 full papers, 4 short papers, and one poster presented in these proceedings were carefully reviewed and selected from 26 submissions.
SIAI-ReDI 2025 centered on the development and assessment of inclusive AI frameworks that prioritize ethical design, equitable deployment, and cultural context. The workshop’s call for papers invited submissions across a range of urgent topics, including:
Algorithmic fairness and transparency Inclusive AI education and workforce strategies AI in marginalized and underrepresented communities Intersectionality, gender, and accessibility in AI Cross-cultural AI governance and regulation Public trust, participatory AI, and responsible design
Edited by:
Yetunde Folajimi, Leonidas Deligiannidis, Salem Othman, Shawren Singh Imprint: Springer International Publishing AG Country of Publication: Switzerland Volume: 2599 Dimensions:
Height: 235mm,
Width: 155mm,
ISBN:9783031989483 ISBN 10: 3031989481 Series:Communications in Computer and Information Science Pages: 143 Publication Date:06 August 2025 Audience:
Professional and scholarly
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College/higher education
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Undergraduate
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Further / Higher Education
Format:Paperback Publisher's Status: Active
.- AI for Social Good and Public Impact in Marginalized Communities: A Cross-Cultural Framework. .- Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI. .- Amharic Language Audio Data Search Engine. .- Scaling Inclusive AI Education through Feedback Analytics in Underserved Contexts: Empowering Learners for the Generative AI Era. .- Towards Culturally Inclusive Knowledge Dissemination Using AI Agents. .- Evaluating the Feasibility of Universal Basic Income (UBI) in Bangladesh Using Multivariate Forecasting with XGBoost. .- Enhancing Crop Yield Forecasting in Bangladesh Using Deep Learning Approach and Time-Series Analysis. .- Group Privacy in AI Systems. .- Shaping the Future of Learning: AI-Driven Adaptive Feedback for Programming Education in Resource-Constrained Setting. .- Understanding vs. Generation: LLMs Are Better at Comprehending Low-Resource Languages Like Urdu Than Generating Text in Them. .- Structured Reasoning for Fairness: A Multi-Agent Approach to Bias Detection in Textual Data. .- Regional Determinants of Domestic Violence in India: Machine Learning Approach.