Aviation Inspectors

Examine maintenance records and flight logs to determine if service and maintenance checks and overhauls were performed at prescribed intervals.

AI: Fully automatable - AI and automated systems can reliably parse maintenance records and flight logs to verify whether required service intervals and overhauls were performed and to flag discrepancies.

Prepare and maintain detailed repair, inspection, investigation, and certification records and reports.

AI: Fully automatable - Document generation, extraction, integration, and record keeping are well within current AI/NLP and workflow automation capabilities and can be fully automated with existing systems.

Approve or deny issuance of certificates of airworthiness.

AI: Partial - AI can assess compliance and recommend issuance decisions, but legal authority, liability, and final certification issuance remain a human/regulatory responsibility as of 2025.

Conduct flight test programs to test equipment, instruments, and systems under a variety of conditions, using both manual and automatic controls.

AI: Partial - AI can automate parts of flight test planning, data collection, and some autonomous flight control, but comprehensive flight test programs still require human test pilots/engineers for safety, judgment, and novel scenarios.

Inspect work of aircraft mechanics performing maintenance, modification, or repair and overhaul of aircraft and aircraft mechanical systems to ensure adherence to standards and procedures.

AI: Partial - AI can assist by analyzing records and providing inspection checklists, but physically inspecting mechanics' work and certifying adherence to procedures requires hands-on verification and certified human inspectors.

Examine aircraft access plates and doors for security.

AI: Partial - Computer vision can detect visual anomalies on access plates and doors from images or video, but physical security checks and mechanical verification still need human inspection and intervention.

Investigate air accidents and complaints to determine causes.

AI: Partial - AI excels at processing sensor logs, telemetry, and patterns to support investigations, but cannot fully replace human investigators who collect on‑scene evidence, exercise judgment, and handle legal processes.

Observe flight activities of pilots to assess flying skills and to ensure conformance to flight and safety regulations.

AI: Partial - Automated monitoring and performance analytics can flag deviations and quantify metrics, yet subjective evaluation of piloting nuances and regulatory enforcement still need human oversight.

Start aircraft and observe gauges, meters, and other instruments to detect evidence of malfunctions.

AI: Partial - AI can monitor gauges and instrument data to detect anomalies and provide diagnostics, but it cannot universally perform the physical startup procedures and immediate safety judgments required across aircraft types.

Examine landing gear, tires, and exteriors of fuselage, wings, and engines for evidence of damage or corrosion and the need for repairs.

AI: Partial - AI-powered visual inspection can identify visible damage or corrosion on landing gear and surfaces, but full assessment often requires tactile checks, specialized NDT, and human judgment.

Inspect new, repaired, or modified aircraft to identify damage or defects and to assess airworthiness and conformance to standards, using checklists, hand tools, and test instruments.

AI: Partial - AI can analyze images, sensor outputs, and checklists to detect many defects and guide inspections, but as of 2025 it cannot reliably perform the hands‑on manipulations and nuanced tactile/judgment aspects of physical inspections.

Recommend replacement, repair, or modification of aircraft equipment.

AI: Partial - AI can analyze failure data, manuals, and cost/benefit models to recommend repairs or replacements, but final engineering approval and consideration of novel contexts typically require human expertise.

Analyze training programs and conduct oral and written examinations to ensure the competency of persons operating, installing, and repairing aircraft equipment.

AI: Partial - AI can design curricula, generate and grade written exams and conduct conversational oral tests, yet high‑stakes competency determinations and contextual judgment remain subject to human certifiers.

Recommend changes in rules, policies, standards, and regulations, based on knowledge of operating conditions, aircraft improvements, and other factors.

AI: Partial - AI can synthesize operating data and technical developments to propose regulatory changes, but policy formulation, stakeholder negotiation, and normative decisions still depend on human authorities.

Schedule and coordinate in-flight testing programs with ground crews and air traffic control to ensure availability of ground tracking, equipment monitoring, and related services.

AI: Partial - AI can generate optimized schedules, draft coordination messages, and manage logistics, but cannot assume authority or reliably manage real‑time, safety‑critical coordination with ATC and flight crews without human oversight.