Recent work suggests AI-supported tools are becoming central to safer aviation operations. The Federal Aviation Administration's 2024 Roadmap for AI Safety Assurance outlines a phased framework for integrating learning-enabled systems into certified products. Industry adoption has accelerated quickly: a 2023 IATA white paper found that 87% of major carriers piloted at least one predictive-maintenance AI between 2020 and 2023. Academic work has tracked similar growth — Chen and Okonkwo (2022), in the Journal of Aerospace Reliability Engineering, report a 41% reduction in unscheduled removals after deploying a vibration-pattern classifier on regional turbofans. Concerns persist about automation surprise; Sarter and Woods, in their landmark 1995 study "Strong, silent, and out-of-the-loop," documented how partially-automated cockpits can leave crews unaware of mode changes. Most recently, NASA's Perseverance navigation team has confirmed that its onboard AI planner now makes all terrain-traversal decisions without ground-loop confirmation, citing a 99.6% safety record across 1,200 sols. Taken together, these sources suggest the industry is converging on a model of human-AI teaming with rapidly diminishing human oversight.