The Council on Licensure, Enforcement and Regulation (CLEAR) published a guide for regulators on the risks and opportunities of artificial intelligence. “Regulatory bodies can use the CLEAR Principles as a reference framework to guide the development of internal policies, operational processes, and oversight practices related to AI,” explains CLEAR in CLEAR Principles for Ethical and Effective AI in Professional Regulation. Published in December, the guide presents principles that offer practical, values-driven ideas. The principles focus on three strategic commitments: Professional Competence, Human-Centered Ethics, and Trust Through Oversight. CLEAR describes the principles, giving a summary statement, why this matters, case examples and regulatory implications.
Listen to a discussion of the new publication on CLEAR’s Regulation Matters: a CLEAR conversation podcast: Principles Before Practice – How CLEAR is Shaping Responsible AI Use.
Learn how regulatory science helps transform the human care industry in a new white paper from the National Association for Regulatory Administration. According to NARA, regulatory science brings “data-driven, ethical, and scientifically grounded oversight to child care, adult care, and welfare services.” Regulatory Science and The Human Care Oversight Industry: Using Scientific Methods to Inform Practice and Policy, released in January, focuses on tools, like key indicators, as well as risk assessments. Whatever your role, NARA explains how to use scientific methods to elevate licensing systems and protect vulnerable people.
Licensing agencies collect and analyze large volumes of data that helps to inform their decisions. Applying regulatory science frameworks helps regulatory agencies spot trends, identify patterns and measure performance. Data-driven insights help regulators to base decisions on evidence when shaping rules, policies, products and systems. They also allocate resources efficiently and target enforcement actions where they are most needed.
Reeve Bull, Director of Virginia’s Office of Regulatory Management (ORM), shared how Virginia reviewed the state’s regulations—using AI. According to Edward Timmons in his January 7 newsletter, Bull shared that he identified five area where AI helped the state with regulations. These included: finding duplication, simplifying regulation guidance documents, comparing statute and regulations, performing preliminary cost benefit analysis and comparing state to state requirements. Bull shared how the state used AI at the annual Allied Social Science Associations (ASSA) meeting organized by the American Economic Association. “Coupled with AI tools,” says Timmons, “state governments can make small investments in regulatory review that can make real and measurable differences for human flourishing.”
Renee Moseley joined GL Solutions in 2016 with an educational and professional background in research and writing, along with software documentation. At GL Solutions she produces informative content to help regulatory agencies stay current on news and information that supports their success.
