Issue |
SHS Web Conf.
Volume 179, 2023
2023 6th International Conference on Humanities Education and Social Sciences (ICHESS 2023)
|
|
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Article Number | 04024 | |
Number of page(s) | 7 | |
Section | Community Management and Public Affairs Service | |
DOI | https://doi.org/10.1051/shsconf/202317904024 | |
Published online | 14 December 2023 |
Ethical Considerations in Artificial Intelligence: A Comprehensive Disccusion from the Perspective of Computer Vision
Bank of Suzhou, 215144 Suzhou, China
* Corresponding author: lini2024@163.com
This paper delves deeply into the multifaceted ethical challenges within the realm of computer vision, focusing intently on various ethical dimensions inherent in this cutting-edge field. It emphasizes the pressing need to address ethical concerns related to AI technologies, including algorithmic fairness, informed consent, public engagement, robust privacy protocols, transparency, and the integration of human judgment through human-in-the-loop systems. The study underscores the vital importance of collaboration among diverse stakeholders, including governments, businesses, academia, and society, to promote responsible and equitable AI practices within computer vision.Through meticulous examination, the paper highlights the urgency of balancing technological advancement with ethical considerations. It advocates for the development and implementation of ethical principles, ensuring that AI technologies align with societal values and promote fairness, transparency, and accountability. The collaborative efforts among various sectors are crucial to fostering an ethical framework that guides the responsible deployment of AI in the field of computer vision. By integrating ethical consciousness into the core of technological innovation, this approach aims to create a symbiotic relationship between artificial intelligence and society, ultimately benefiting humanity as a whole.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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