Unwinding AI's Moral Maze: Hypertext's Ethical Potential | Proceedings of the 35th ACM Conference on Hypertext and Social Media (2024)

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Author: Claus Atzenbeck

HT '24: Proceedings of the 35th ACM Conference on Hypertext and Social Media

Pages 23 - 28

Published: 10 September 2024 Publication History

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Abstract

This paper considers hypertext in its various forms as a paradigm that has the potential to reduce a number of ethical concerns that come with (generative) AI. Based on a user scenario, the paper points out some ethical issues and explains how they can be addressed by hypertext. To do so, it distinguishes between System1 (fast automation of simple tasks) and System2 (critical thinking) tasks. Drawing on existing publications in philosophy, the paper argues that AI systems cannot be moral agents; they cannot be trustworthy or truly intelligent. This breaks with some of the wording, partly used for marketing purposes, that currently makes “artificial intelligence” a hype. The analysis follows the three most important ethical theories: deontology, consequentialism, and virtue ethics. The paper concludes that hypertext, although a niche topic, is already prepared to solve some of the most prominent and urgent ethical issues in AI.

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Index Terms

  1. Unwinding AI's Moral Maze: Hypertext's Ethical Potential

    1. Computing methodologies

      1. Artificial intelligence

        1. Natural language processing

          1. Natural language generation

      2. Human-centered computing

        1. Human computer interaction (HCI)

          1. Interaction paradigms

            1. Hypertext / hypermedia

              1. Natural language interfaces

          2. Social and professional topics

            1. Professional topics

              1. Computing profession

                1. Codes of ethics

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          Unwinding AI's Moral Maze: Hypertext's Ethical Potential | Proceedings of the 35th ACM Conference on Hypertext and Social Media (1)

          HT '24: Proceedings of the 35th ACM Conference on Hypertext and Social Media

          September 2024

          415 pages

          ISBN:9798400705953

          DOI:10.1145/3648188

          Copyright © 2024 Owner/Author.

          This work is licensed under a Creative Commons Attribution International 4.0 License.

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          • SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          Published: 10 September 2024

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          Author Tags

          1. AI
          2. AI ethics
          3. consequentialism
          4. deontology
          5. digital ethics
          6. hypertext
          7. moral agents
          8. moral philosophy
          9. moral systems
          10. responsible systems
          11. virtue ethics

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          Overall Acceptance Rate 378 of 1,158 submissions, 33%

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          35th ACM Conference on Hypertext and Social Media

          September 10 - 13, 2024

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          Unwinding AI's Moral Maze: Hypertext's Ethical Potential | Proceedings of the 35th ACM Conference on Hypertext and Social Media (2)

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