AI for People, Democratizing AI

Second EAI International Conference, CAIP 2023, Bologna, Italy, November 24-26, 2023, Proceedings
Herausgegeben:Ziosi, Marta; Sartor, Giovanni; Cunha, João Miguel; Trotta, Angelo; Wicke, Philipp

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed post-conference proceedings of the Second EAI International Conference on AI for People, Democratizing AI, CAIP 2023, held in Bologna, Italy, during November 24-26, 2023.

The 11 regular papers were carefully reviewed and selected from 27 submissions. The papers are organized in thematic sessions on ethical AI and innovation; democratization of AI and governance; AI in society and legal aspects; and data privacy and technology ethics.

Produktdetails

• Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Enginee
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-71303-3
• 2024
• Seitenzahl: 144
• Erscheinungstermin: 3. Oktober 2024
• Englisch
• Abmessung: 235mm x 155mm x 9mm
• Gewicht: 230g
• ISBN-13: 9783031713033
• ISBN-10: 3031713036
• Artikelnr.: 71320170

Inhaltsangabe

.- Ethical AI and innovation.
.- A Human-Centered Decision Support System in Customer Support.
.- An AI-based Remote Rehabilitation System to Promote Access to Physical Rehabilitation.
.- Democratization of AI and Governance.
.- Democratization is a process, not a destination: Operationalizing ethics and democratization in a cyberinfrastructure for AI project.
.- (Im)possibilities in the Ethics of AI: Biometric Surveillance, Complicity, and Refusal in India and Beyond.
.- Research methods of the impact of AI on elections systematic review.
.- AI in Society and Legal Aspects.
.- On the Legal Aspects of Responsible AI: Algorithmic Change, Human Oversight, and Societal Outcomes.
.- Limitations of Transparency in Democratising and Regulating Algorithmic Management.
.- Breaking the Filtered Lens: A Feminist Examination of Beauty Ideals in Augmented Reality Filters.
.- Data Privacy and Technology Ethics.
.- Your body should not belong to the internet: online bodily integrity in the world of deepfake pornography.
.- The Promise and Peril of Responsible AI Principles.
.- Accelerating Machine Learning Primitives on Commodity Hardware.