"The U.S. Olympic men's and women's sprinting teams have won more gold medals than any other country in history, but the men's 4×100-meter relay team has suffered four blistering defeats in the past two decades. Why? An absolute whiff at the critical point when a runner has to instinctively reach back and trust their squadmate enough to perfectly place the baton in their hand."
"Sudip Datta, chief product officer at AI-powered software firm Blackbaud, said that image captures exactly what's taking place in AI today. Companies are advancing swiftly to build the fastest and most powerful systems they can, but there's a severe lack of trust between the technology and the people using it, causing any new innovation or efficiencies to completely fumble at the handoff."
"Datta said the reflexive reach backward on faith alone is what will separate the winners from the losers in AI adoption. And a major challenge looming in building trust is that a lot of companies today treat trust-building as a compliance burden that slows everything down. The opposite is true, he told the Brainstorm AI audience. "Trust is actually a revenue driver," said Datta. "It's an enabler because it propels further innovation, because the more customers trust us, we can accelerate on that innovation journey.""
Lack of trust between AI systems and users causes new innovations and efficiencies to fumble at operational handoffs, even when organizations build the fastest, most powerful systems. Successful adoption depends on users instinctively accepting outputs at critical moments, analogous to a perfectly timed relay handoff. Treating trust-building only as a compliance burden undermines progress; trust acts as a revenue driver and an enabler of further innovation by allowing accelerated deployment. Companies must meet multiple conditions to build trust; regulation has covered early requirements but significant work remains on later elements such as transparency and collaboration.
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