AI NOT SAFE YET, UCLA PROFESSOR WARNS

Safiya Noble, director of UCLA's Center on Resilience & Digital Justice, challenged industry claims about AI safety during a Bloomberg Tech appearance. While major AI developers emphasize safety measures ahead of potential public offerings, Noble highlighted a critical gap: training data containing societal prejudices gets encoded into AI systems. The concern centers on how biases present in datasets used to train AI models propagate into deployed systems, potentially amplifying discrimination at scale. Noble's warning suggests that current safeguards fall short of addressing systemic bias issues baked into AI development. The remarks come as Anthropic and OpenAI both signal readiness for IPOs, with safety and beneficial AI use positioned as core value propositions to investors. Noble's critique indicates that technical safety protocols alone may not address deeper concerns about fairness and equity in AI systems.