AI Alignment Isn’t Enough—The Real Advantage Is Trust

InnovationAI Alignment Isn’t Enough—The Real Advantage Is TrustBySandeep Shilawat,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 15, 2026, 06:30am EDTSandeep Shilawat is a renowned tech innovator, thought leader and strategic advisor in U.S. federal markets. getty​For years, the AI industry has asked the wrong question: Is the model aligned? But the time for that question has long passed with the advent of serious geopolitical conflicts involving AI.As AI moves from assistant to executor, it's helping people make decisions in everything from wars and cybersecurity to benefits processing, procurement, logistics and customer operations. The most important question now is, can we trust these systems when conditions are messy, adversarial and fast-moving?That's the real essence of investigating trustworthy AI.Defining Trustworthy AIToo often, trustworthy AI is described in soft terms: ethical, responsible, safe or fair. I've even used these terms for years. Those ideas matter, but they're incomplete. In practice, trustworthy AI isn't a slogan or a static property of a model. It's a property of a system that must be continuously produced, measured and enforced.​I'm defining a trustworthy AI system as one whose behavior can be observed over time, tested under pressure, evaluated independently and constrained when risk crosses a threshold. Trust isn't something we declare. It's something we engineer, and it needs to be earned over time.This distinction matters and is even critical, because AI is now entering the operational core of institutions and nations. When a model drafts marketing copy, failure is annoying. When it helps guide cyber defense, adjudicate services or influence mission-critical decisions, failure becomes operationally significant. When a model makes an error o...