Negative Obligations in Policymaking: Contractualist Approaches to Generative AI
DOI:
https://doi.org/10.61173/m6wycf27Keywords:
negative obligation, temporal remoteness, contractualism, AI regulationAbstract
The future of generative AI (GenAI) presents various ethical challenges for lawmakers, as effectively legislating a rapidly evolving technology can be difficult when so much of its implications are still unknown. By introducing a conceptual analysis of what positive and negative obligations are appropriate for present and future people, the article will argue that we owe NO to both present and future peoples; that is, we bear the duty of ensuring human survival and taking precautionary action on behalf of all generations. However, while we owe PO to living people, we do not owe those same obligations to future generations due to the future’s temporal remoteness and moral vagueness. Policymakers, therefore, should also operate based on these principles of positive and negative obligation, an approach which is justified by contractarianism. Towards the end, it will engage with a case study on the EU AI Act and show how it links with a suggested policy making process.
References
Blouin, L. (2023). AI’s mysterious “black box” problem, explained. Dearborn. https://umdearborn.edu/news/ ais-mysterious-black-box-problem-explained
Bruneau, G. (2018). Do we have moral obligations towards future people? Addressing the moral vagueness of future environmental scenarios. VERITAS, 40, 49- 65. https://redae.uc.cl/index.php/veritas/article/download/62599/50151
European Union. (2024). The AI act explorer. EU Artificial Intelligence Act. https://artificialintelligenceact.eu/ ai-act-explorer/ Friend, C. (n.d.). Social contract theory. Internet Encyclopedia of Philosophy. https://iep.utm.edu/soc-cont/. Accessed July 2, 2025.
Lincoln, S., & Holmes, E. (2011). Ethical decision making and the influence of moral intensity. Journal of Healthcare, Science and the Humanities, 1(1), 55-69. https:// www.usna.edu/Ethics/_files/documents/ethical%20decision%20making%20and%20the%20influence%20of%20 moral%20intensity.pdf
Parfit, D. (1987). Reasons and persons. Clarendon Press.
Rajappa, S. (2024). Existing legal frameworks and gaps in generative AI. Forbes. https://www.forbes.com/councils/ forbestechcouncil/2025/09/09/enterprise-ai-is-movingfast-can-it-operations-keep-up/ United Nations Office on Drugs and Crime [UNODC]. (2019). Positive and negative obligations of the state. In Trafficking in persons & smuggling of migrants. https:// www.unodc.org/e4j/zh/tip-and-som/module-2/key-issues/ positive-and-negative-obligations-of-the-state.html
Downloads
Published
Issue
Section
License
Copyright (c) 2025 by the authors.

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