Why trust is crucial in the tax profession
Joel Hron, Chief Technology Officer at Thomson Reuters, captured the essence of the challenge facing the profession: “Our customers do not use AI for experimentation. They use it to make decisions they must be able to explain, defend, and stand behind. As AI systems become more agentic, trust stops being a policy question and becomes an engineering requirement.”
This distinction is particularly relevant for the tax profession. Consider a preparer using AI to research a complex inquiry related to tax law. AI can be used to reason across statutes, regulatory guidance, and material requiring legal interpretation, dramatically reducing research time.
To dig deeper, visit the original article on the Thomson Reuters blog.