Addressing Regulatory Arbitrage in the AI Supply Chain
Addressing Regulatory Arbitrage in the AI Supply Chain
https://www.techpolicy.press/addressing-regulatory-arbitrage-in-the-ai-supply-chain/
Publish Date: 2026-06-16 09:21:00
Source Domain: www.techpolicy.press
- Marginalized Communities in AI Development: Marginalized communities, including transgender individuals and low-wage workers in Kenya, face significant neglect in AI creation, from biased algorithms that misrecognize them to hazardous working conditions and toxic environmental impacts.
- Regulatory Arbitrage in AI: AI companies exploit legal loopholes reminiscent of the e-cigarette regulation debate, using outdated protection frameworks to cause new harms through digital means, such as systemic bias, labor exploitation, and environmental racism.
- Representative and Inclusive AI: There is a critical need for inclusive AI systems. Transgender individuals and other non-binary groups suffer from erasure and misrepresentation in training data, leading to biased AI outputs and services.
- Labor Exploitation in AI Supply Chains: Similar to historical sweatshops, AI supply chains offshore dangerous, low-wage jobs to communities with fewer legal protections, causing psychological harm to workers labeling traumatic content.
- Environmental Racism in AI Infrastructure: AI infrastructure, like gas turbines fueling data centers, disproportionately impacts already marginalized communities, causing severe health and environmental damage while evading standard regulatory protections.
- Reclassification Not Reinvention: Addressing AI-related harms does not require new frameworks but the application of existing legal tools like environmental enforcement, labor protections, and data sovereignty to existing AI infrastructure.
- Existing Tools for New Problems: Existing regulatory strategies, like those used in the FDA for e-cigarettes, need to be aggressively applied to contemporary AI issues to protect vulnerable communities and ensure ethical tech development.
