The majority of AI risk discussion has been about how to safeguard privacy and address algorithmic bias. Less discussed – but equally important – is how to manage AI cybersecurity risk in today’s regulatory environment, where technology far outpaces regulation.
At present, laws and regulations provide for only general security requirements (i.e., they don’t necessarily account for the unique cybersecurity risks posed by AI). Given the slow pace at which new laws and regulations are adopted, it is likely that regulators will stretch existing requirements to cover all things algorithmic.
Companies, therefore, need to be ready to defend their AI-related security practices now. They can start doing that by adopting an AI risk management approach that encompasses not only physical and cyber security measures but also the procedural and personnel aspects of such measures.
In this session, Proskauer's Michelle Ovanesian and Marc Palmer offer a view from the frontlines of data security, privacy, and the law in the rapidly expanding field of artificial intelligence.