How is Generative AI changing the landscape of AI harms?

Generative AI is at a tipping point of adoption and impact, much like that of machine learning and AI years ago. But this time the stakes, regulatory environment, potential social, political, and economic effects of these technologies, and the exponential pace of adoption and evolution are different. There is legitimate concern about the social fabric of trustworthiness and democracy as models are incorporated into search engines, customer support, and other critical tools used by the public. Yet, these technologies also offer tremendous potential. In the United States, the Information Technology Laboratory (ITL) at NIST has led the development of the AI Risk Management Framework, a voluntary resource for organizations designing or using AI systems to manage risks and promote trustworthy and responsible AI.