{"id":1501,"date":"2026-06-16T04:14:54","date_gmt":"2026-06-16T04:14:54","guid":{"rendered":"https:\/\/crosscountrymovingteams.com\/?p=1501"},"modified":"2026-06-16T04:14:54","modified_gmt":"2026-06-16T04:14:54","slug":"agentic-ai-systems-are-doing-more-and-more-work-now-humans-need-to-figure-out-how-to-verify-it-all","status":"publish","type":"post","link":"https:\/\/crosscountrymovingteams.com\/?p=1501","title":{"rendered":"Agentic AI systems are doing more and more work. Now humans need to figure out how to verify it all"},"content":{"rendered":"
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And yet, most businesses cannot afford to sit out the AI revolution. Managing this thorny reality is a fundamental challenge for business leaders today, and executives at several leading companies came together to share their insights and experience at Fortune Brainstorm Tech in Apsen, Colorado.<\/p>\n

Read more Hundreds of Stanford students walked out of their grad ceremony to protest Google CEO\u2019s commencement speech. It wasn\u2019t all about AI<\/a><\/p>\n

At the top of the priority list is accountability. That is, being able to follow\u2014and if necessary re-trace\u2014all the steps that an AI or agentic AI system took in performing a particular task.\u00a0<\/p>\n

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\u201cA key thing that we worry about is how do you build a system that is as right as often as you can possibly make it,\u201d said Edwin Olson, the founder and CEO, autonomous driving technology firm May Mobility. \u201cBut also, critically, because you know it\u2019s going to eventually make mistakes, how do you create the transparency and introspectability, so you can understand why it made a mistake and then talk to regulators about how you know that you fixed that issue moving forward.\u201d<\/p>\n

Caitlin Halferty, the chief data officer at Thomson Reuters, echoed the sentiment, stressing the importance of transparent output from AI: \u201cI do this with my teams, myself, I encourage this with my clients, making sure there\u2019s a way in which you can validate the output of any model that you\u2019re using.\u201d<\/p>\n

With a portofoio of AI-enabled services aimed at professionals in fields like legal and tax compliance, Thomson Reuters has had to focus on AI accountability from early on. Transparency is one of four key pillars of what the company calls \u201cfiduciary grade\u201d products, Halferty said, alongside data privacy and security, subject matter experts, and reliable content.\u00a0<\/p>\n

Another important technique cited by several panelists is designing systems that are effectively able to regulate each other. At May Mobility, Olson said that involves installing systems in autonomous cars that are capable of simulating and assessing various scenarios simultaneously and choosing the best option.<\/p>\n

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But such systems an also be used in corporate settings and day-to-day workflow. Elena Kvochko, the founder and CEO of Trustguard AI, calls it the \u201cLLM as a judge\u201d technique and uses the analogy of a newsroom to explain how it works.<\/p>\n

Read more UFC fighters at the White House got paid with Trump family stablecoins\u2014but an ethics expert says a gap in the law allows this<\/a><\/p>\n

\u201cYou have one person or agent whose job is to be the writer, and then the other person or agent whose job is to be the editor\u2014its sole purpose is to find mistakes, or any inaccuracy that the writer could have potentially missed. So basically this is how you you want your LLM systems to also be designed, so that they are self improving.\u201d<\/p>\n

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But, Kvochko adds, the key is that the verification has to be structured in separate AI systems. \u201cYou don\u2019t want AI to grade its own work,\u201d she said.<\/p>\n

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Having a smart structure for AI verification is going to become increasingly critical as the technology performs more and more tasks, outpacing the ability of humans to verify all the work.\u00a0<\/p>\n

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\u201cYou end up in this space where you\u2019ve got so much work that\u2019s been done, so much work to audit, that you can\u2019t truly be accountable,\u201d said SentinelOne Chief AI Officer Gregor Stewart.<\/p>\n

He pointed to computer coding, which he said is about one year ahead of other industries. Rather than have a human verify ten thousand lines of AI-written code, teams are figuring out ways to have agents emulate some of the processes developed decades ago for humans in safety-critical industries.<\/p>\n

\u201cI think we\u2019re going to see a resurgence of a bunch of techniques we developed for safety critical technologies imported into just average practice,\u201d said Stewart.<\/p>\n

Read more The Strait of Hormuz is finally reopening, but energy flows may not get back to normal until next year<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

AI systems are designed to improvise. At Fortune Brainstorm Tech, business leaders discussed the best way to manage these systems.<\/p>\n","protected":false},"author":1,"featured_media":1500,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[218],"tags":[],"class_list":["post-1501","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-brainstorm-tech"],"yoast_head":"\nAgentic AI systems are doing more and more work. 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