AI for People, Democratizing AI
Second EAI International Conference, CAIP 2023, Bologna, Italy, November 24-26, 2023, Proceedings
Series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; 591;
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Product details:
- Edition number 2024
- Publisher Springer Nature Switzerland
- Date of Publication 3 October 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031713033
- Binding Paperback
- No. of pages131 pages
- Size 235x155 mm
- Language English
- Illustrations X, 131 p. 16 illus., 6 illus. in color. Illustrations, black & white 601
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Long description:
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.
MoreTable of Contents:
.- 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.
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