Unwinding AI's Moral Maze: Hypertext's Ethical Potential
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 System 1 (fast automation of simple tasks) and System 2 (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. mehrMehr zum Titel
| Titel | Unwinding AI's Moral Maze: Hypertext's Ethical Potential |
|---|---|
| Medien | Proceedings of the 35th ACM Conference on Hypertext and Social Media |
| Verlag | ACM |
| Heft | --- |
| Band | 2024 |
| ISBN | --- |
| Verfasser/Herausgeber | Prof. Dr. Claus Atzenbeck |
| Seiten | 23–28 |
| Veröffentlichungsdatum | 10.09.2024 |
| Projekttitel | --- |
| Zitation | Atzenbeck, Claus (2024): Unwinding AI's Moral Maze: Hypertext's Ethical Potential. Proceedings of the 35th ACM Conference on Hypertext and Social Media 2024, S. 23–28. DOI: 10.1145/3648188.3678213 |