A recent article from Sifted asks whether venture capitalists are doing their homework on AI safety. The headline itself frames the issue as an open question, implying that the industry may not have a consistent or rigorous approach to evaluating the risks of AI startups before writing checks.
The piece appears to focus on the tension between the rapid pace of AI investment and the slower development of safety standards. Without citing specific cases, it points to a broader concern: that financial returns may be prioritized over long-term societal and technical risks.
Given that this is a single source, there is no external data or contrasting view to weigh. The article stands alone as a prompt for investors to reflect on whether their due diligence processes are keeping up with the unique challenges posed by AI systems.