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AI for People, Democratizing AI Second EAI International Conference, CAIP 2023, Bologna, Italy, November 24-26, 2023, Proceedings /

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...

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Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Ziosi, Marta (Editor), Sartor, Giovanni (Editor), Cunha, João Miguel (Editor), Trotta, Angelo (Editor), Wicke, Philipp (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edició:1st ed. 2024.
Col·lecció:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 591
Matèries:
Machine learning.
Social sciences > Data processing.
Machine Learning.
Computer Application in Social and Behavioral Sciences.
Accés en línia:https://doi.org/10.1007/978-3-031-71304-0
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Taula de continguts:
  • -- 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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