Building Trust in AI:Governance Strategies forTransparent andAccountable Systems

Inanera whereartificialintelligence(AI)systems areincreasinglyembeddedinthe fabric of modern life—from diagnosing complex medical conditions to automating financial decisions and managing public infrastructure—establishing and maintaining public trust has become both a societal and strategic imperative. Despite the transformative potential of AI, trust in these systems remains fragile. As of 2025, global surveys indicate that only 46% of people are willing to trust AI-driven technologies, underscoring a widening confidence gap. This erosion of trust is largely attributed to a combination of high-profile system failures, opaque algorithmic processes, data misuse, and ethical lapses that have drawn scrutiny from policymakers, regulators, and the public alike.