Evaluating AI tools for research and decisions carries security privacy bias and regulatory risks.
“As with many technological innovations, the use of artificial intelligence, including generative and agentic AI tools, presents risks and challenges that could adversely affect our business. We are evaluating AI solutions to assist our employees with research, content generation, data synthesis, and decision support. Our vendors may incorporate AI tools into their services and deliverables without telling us, and the companies that provide these AI tools may not meet existing or rapidly evolving regulatory or industry standards with respect to security, privacy, and data protection. Further, we may not be able to control how third-party AI technologies that we use are developed or maintained, how data we input is used or disclosed, even where we have sought contractual protections with respect to these matters, or how these third parties comply with evaluating regulatory or industry standards governing AI. In addition, the use of AI tools may introduce errors or inadequacies that are not easily detectable, including deficiencies, inaccuracies, or biases in the data used for AI training or in the content, analyses, or recommendations generated by AI applications. Because of these problems, these models could lead us to make flawed decisions that could result in adverse consequences to us, including reputational and competitive harm, loss of customers, and legal liability. Moreover, uncertainty in the regulatory environment related to AI may require significant resources to mod”