Ethical Compliance Perspective: Risk Avoidance and Sustainable Development Strategies for AI Startups

DOI

10.2991/978-2-38476-553-9_64How to use a DOI?

Keywords

AI Startups; Ethical Compliance; Risk Avoidance; Sustainable Development; Data Privacy; Algorithm Transparency

Abstract

In recent years, the accelerated commercialization of AI technology has driven explosive growth in global AI startups. However, issues such as data privacy breaches, algorithmic bias, and compliance violations have frequently occurred. The 2024-2025 incidents involving Character AI inducement risks and AI deepfake crimes in South Korea have further heightened the attention of regulatory authorities and the public to AI ethical compliance. This paper takes AI startups as the research object, employing literature review and case analysis to analyze the current state and shortcomings of industry ethical compliance, identify core risks at the data, algorithm, and legal regulatory levels, analyze internal and external causes, and propose a collaborative strategy of “system + technology + external collaboration.” The effectiveness of this strategy is verified using typical cases from 2025. The research shows that ethical compliance is not a cost burden, but rather a core competitive advantage for the sustainable development of AI startups. It can support companies in avoiding regulatory risks and building user trust, while also providing a reference for improving the AI ethical compliance regulatory system.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Prince Wang
PY  - 2026
DA  - 2026/03/25
TI  - Ethical Compliance Perspective: Risk Avoidance and Sustainable Development Strategies for AI Startups
BT  - Proceedings of the 2025 4th International Conference on Educational Science and Social Culture (ESSC 2025)
PB  - Atlantis Press
SP  - 580
EP  - 586
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-553-9_64
DO  - 10.2991/978-2-38476-553-9_64
ID  - Wang2026
ER  -