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  1. Research Outputs

Ethical Boundaries in AI-Generated Imagery: Analysis of Controversial Content Constraints

Conference Paper
Publication Date:
2024
Short description:
Ethical Boundaries in AI-Generated Imagery: Analysis of Controversial Content Constraints / Florindi, Emanuele; Franzoni, Valentina; Milani, Alfredo. - 14825:(2024), pp. 292-302. ( 24th International Conference on Computational Science and Its Applications, ICCSA 2024 Hanoi, Vietnam July 1–4, 2024) [10.1007/978-3-031-65343-8_21].
abstract:
This paper explores the ethical challenges associated with AI-generated imagery, with a particular focus on controversial content, such as content involving pornographic themes. As artificial intelligence technologies evolve, they are increasingly capable of producing imagery that, while innovative, also raises significant ethical dilemmas. This study aims to navigate the current ethical landscape of AI-generated content, grounded in established ethical and legal principles. Through the examination of both real and hypothetical case studies, we explore the controversies surrounding AI-generated sexual content, examining its potential to both mitigate the use of illegal child imagery and raise concerns over the reinforcement of harmful stereotypes and behaviors. The paper concludes with a call for the urgent integration of ethical considerations into AI development and deployment processes, highlighting the need to promote the responsible use of AI and prevent the escalation of harm.
Iris type:
Relazione in Atti di Convegno
Keywords:
AI; Artificial Intelligence; controversial content; Ethics; ethics for AI; Generative AI;
List of contributors:
Florindi, Emanuele; Franzoni, Valentina; Milani, Alfredo
Authors of the University:
FLORINDI EMANUELE
Handle:
https://iris.unimore.it/handle/11380/1349868
Book title:
Computational Science and Its Applications – ICCSA 2024 Workshops
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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URL

https://link.springer.com/book/10.1007/978-3-031-65343-8
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