We believe that data, and the insights enabled by data, can be used to create or enhance the products and services that we offer to our clients. As a result, we are using, and expect to continue to expand our use of, artificial intelligence and machine learning in our product…
Read full text
We believe that data, and the insights enabled by data, can be used to create or enhance the products and services that we offer to our clients. As a result, we are using, and expect to continue to expand our use of, artificial intelligence and machine learning in our product development processes, services and operations. The use of artificial intelligence technologies carries inherent 11 11 11 Table of Contents Table of Contents risks, and there can be no assurance that our use of artificial intelligence will enhance our products or services or achieve any improvements in innovation or efficiency. If the content, analyses or recommendations that artificial intelligence applications assist in producing are or are alleged to be inaccurate, deficient or biased, our business, financial condition and results of operations may be adversely affected. Furthermore, our services that integrate third-party artificial intelligence models may rely on certain safeguards implemented by the third-party providers of the underlying artificial intelligence models, including those related to the accuracy, bias and other variables of the data, and these safeguards may be insufficient. Legislation and regulations governing the development or use of artificial intelligence and automated-decision making have been implemented or are under consideration in the U.S. at the state and local level, as well as internationally. Such legislation and regulations may impose obligations related to our development, offering, and use of artificial intelligence, particularly those use cases that are deemed by the law to be “high risk”, and expose us to increased risk of regulatory enforcement and litigation. As a result, our ability to use artificial intelligence and machine learning may be constrained by current or future laws, regulatory or self-regulatory requirements.