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Social Impact of AI: Research, Diversity and Inclusion Frameworks - International Workshop, SIAI 2025, Philadelphia, PA, USA, March 1, 2025, Proceedings

Englisch · Taschenbuch

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Beschreibung

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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

Inhaltsverzeichnis

.- 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.

Produktdetails

Mitarbeit Leonidas Deligiannidis (Herausgeber), Yetunde Folajimi (Herausgeber), Salem Othman (Herausgeber), Salem Othman et al (Herausgeber), Shawren Singh (Herausgeber)
Verlag Springer, Berlin
 
Sprache Englisch
Produktform Taschenbuch
Erschienen 20.08.2025
 
EAN 9783031989483
ISBN 978-3-0-3198948-3
Seiten 143
Abmessung 155 mm x 9 mm x 235 mm
Gewicht 254 g
Illustration XIV, 143 p. 53 illus., 41 illus. in color.
Serie Communications in Computer and Information Science
Themen Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik

machine learning, AI systems, Regulatory Frameworks, Computing Profession, Algorithmic Bias, Diversity in AI development, Artificial Intelligence for good

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