At HIMSS25, Thinking About Governance and Agentic AI

All preconference forums began on Monday morning, March 3, such as HIMSS25, which takes place at the Venetian Sands Convention Center in Las Vegas. The IA forum offered a reinforced vision of the need for new forms of government to satisfy the adoption of new forms of artificial intelligence. A key development, Dennis Chornenky, former Chief Advisor of AI at UC Davis Health and current CEO of the Consulting firm Domelabs ai based in Washington, DC, told the audience gathered of several hundred, has been the recent appearance of the agent, a type of artificial intelligence that allows the agents to act autonomous, that they make decisions and making actions without constant ascent human.

«AI Agentic is progressing rapidly in terms of maturity,» Chornenky told the audience. “So how do we govern these processes? In the traditional governance of AI, we think a lot about responsibility, who is responsible. Ultimately, humans remain responsible; If you are related to patient care, the doctor makes the decision. Now, «he said,» we need an agent government. The more autonomous the AI ​​becomes, the more interactions ai will take place. That requires a new set of governance processes. What happens if ai is wrong and communicates the wrong to the next AI solution? Who knows what happens in the future? And, for AGI governance, bring this to a much higher level of capacity around the thinking of the machine and the decision making of the machine, how do we guarantee human values? How do we ensure appropriate control and supervision? What happens to the risk of gun races among governments?

The emergence of the agent, Chornenky said: “I create what I call a governance gap. Essentially, the innovation of AI is being carried out too fast for regulators to stay up to date. And the governance gap limits innovation and limits the market for suppliers. And it also creates a dilemma for the CIO, because they are under pressure to adopt solutions, but must guarantee security. And most organizations like the necessary internal government processes. Therefore, there is an idea of ​​self -regulatory organizations, such as Chai, Association on Ia de Duke, etc. Such processes could be formalized by Congress. There is the idea that assurance laboratories that give seal approval to supplier products. At the end of the Biden administration, an association between the VA and the FDA was announced, where the VA sites could be used to help validate certain AI applications, and that would support the ability of the FDA to obtain approved devices or applications. «

The reality in the field is that the development of governance for the Agent, emphasized Chornenky, will take time and raise challenges. And, in that sense, he said: “You really have to think about three components: AI strategy, AI government policy and AI adoption route, to help you understand what cases of use you will look for and why. Then, «he said,» begin with an AI strategy, a written strategy that helps align the key interested parties and helps to explain how will guarantee safety and efficiency with governance. Pursue adoption route. And how do we think about AI as a source of value? And governance policy helps an organization identify and mitigate risk. Regulatory risks, technical risks, financial risks, strategic risks and specific risks of the domain. «

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