{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5ab54c70bb6ddf45527e06b1/6ac5b9298f90a39dfc423e64?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI Safety Has Reached a Critical Point","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5ab54c70bb6ddf45527e06b1/1791342860419-7ed0a019-3ad3-49c6-b7c6-3322f5ea6653.jpeg?height=200","description":"<p>AI safety concerns are no longer just hypothetical. As AI systems become increasingly capable, the risks involving cybersecurity, biosecurity and unintended behavior are becoming harder to ignore.</p><p><br></p><p>Kevin Werbach, Professor of Legal Studies and Business Ethics at the Wharton School, explains the different categories of AI risk and why companies alone may not be able to manage them. Werbach argues that governments need to establish standards and safeguards for frontier AI, drawing comparisons to the way financial institutions are regulated to protect against systemic risks.</p>","author_name":"The Wharton School"}