▶Both sources highlight Jennifer Scanlon's emphasis on UL Solutions' collaboration with the city of New York to write its e-bike safety standards into law, and both cite the significant reduction in fatalities that resulted.Apr 2026
▶Scanlon consistently discusses UL Solutions' proactive engagement with AI safety, referencing the development of standards for AI systems (UL 3115) and the launch of certification marks for AI hardware across both podcast appearances.Apr 2026
▶The global scale and operational complexity of UL Solutions are consistently portrayed, with Scanlon citing its 15,000 employees, 110 markets, 80,000 customers, and significant revenue from international markets like China and EMEA.Apr 2026
▶Scanlon's position on the U.S. Cyber Trust Mark program evolved significantly between appearances. Initially, she was 'most excited' about UL Solutions being named the lead administrator, but later explained that the company withdrew from the role after the FCC introduced additional requirements.Apr 2026
▶There is a nuanced perspective on government collaboration. Scanlon champions partnerships that codify UL standards into law (e.g., NYC e-bike fires) but also advocates for industry-led governance over top-down regulation for AI safety and has withdrawn from a major federal program.Apr 2026
▶UL Solutions' role in AI safety is presented with some contrast. While the company is developing comprehensive standards (UL 3115) and certifying hardware, Scanlon clarifies they are not directly engaged with foundational model developers like OpenAI or Anthropic, focusing more on implementation and hardware safety.Apr 2026
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