Given the many laws, frameworks and industry best practices surrounding artificial intelligence (AI), it’s not surprising that lawyers, compliance professionals and others charged with AI governance and compliance are seeking a starting point for AI guidelines. A solid foundation is vital to building a program that satisfies the growing matrix of requirements while allowing companies to simplify and execute their programs amid growing complexity and change. The U.S.

As a modern CTO, it should probably come as no big surprise that I’m an optimist on the innovative prospects of artificial intelligence (AI). But I’ve been in this career for a long time, and that optimism is tempered with experience. I’ve seen enough emerging technology patterns to know that it always takes a lot more time and resources than people think to evolve innovative technologies beyond their final barriers.

As businesses increasingly turn to artificial intelligence (AI) to enhance innovation and operational efficiency, the need for ethical and safe implementation becomes more crucial than ever. While AI offers immense potential, it also introduces risks related to privacy, bias, and security, prompting organizations to seek robust frameworks to manage these concerns.