AI can’t be trustworthy without data center transparency

The article argues that AI systems cannot be considered trustworthy if the data centers powering them are developed through opaque, exclusionary processes. It highlights concerns in Minnesota about environmental impacts and accountability of hyperscale data centers, drawing a legal analogy to question the legitimacy of AI infrastructure built without transparency.