Big Tech and Human Rights: Beyond the Algorithm
The BSR report reframes the conversation around Big Tech and human rights by shifting focus from individual AI models to the entire generative AI value chain. Instead of asking whether a single platform is harmful, it shows how risks are embedded across interconnected stages, from data collection and model training to deployment and everyday use.
What stands out is how harm is distributed. Human rights risks begin long before users interact with AI. Low-paid data workers, often in the Global South, support model training under precarious conditions, while artists and communities may have their data used without consent. Once deployed, AI systems can amplify misinformation, bias, and unequal access to opportunities, extending their impact far beyond their creators.
This reveals a structural problem: accountability is fragmented. Responsibility is spread across developers, suppliers, and platforms, yet no single actor fully owns the consequences. Decisions made at one stage of the value chain can shape outcomes elsewhere, making isolated regulation insufficient.
More importantly, the report challenges the idea that technological harm is accidental. Many risks are systemic, built into how AI systems are designed and scaled. Big Tech is not just creating tools, it is building infrastructures that shape labor, information, and participation.
If responsibility is distributed across the entire AI value chain, then who is ultimately accountable for the human rights impacts it produces?
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