AI in Aviation Liability: What Aircraft Owners Should Know

Sep 28, 2026

Key Takeaways

AI and autonomous flight systems may change how aviation liability is divided between pilots, operators, manufacturers, and software providers.
The more authority software has over flight decisions, the more complex insurance and liability questions may become.
Software updates, system logs, training records, and override procedures could become more important in future underwriting and claims investigations.
Product liability may play a larger role as automated systems take on responsibilities traditionally handled by pilots.
Aircraft owners and aviation businesses should keep their insurance professionals informed when advanced automation changes how an aircraft or operation functions.

Artificial intelligence is becoming a larger part of aviation, from maintenance and operational support to cockpit decision-making and increasingly autonomous flight systems.

For aircraft owners, operators, manufacturers, and aviation businesses, the technology introduces a question that goes beyond performance and safety: when software takes on more responsibility in flight, how does liability change?

This article shares Aero Insurance’s perspective on questions raised by Sarah Porges, SVP, Aerospace Client Executive at Global Aerospace, in her article “AI in Aviation Liability: Who Owns the Risk When Traditional Pilot Responsibilities Are Handled by Software?”

Read the original Global Aerospace article →

Why AI Changes the Liability Conversation

Aviation liability has traditionally centered on identifiable people and organizations. Depending on the operation, responsibility may involve pilots, aircraft owners, operators, maintenance providers, manufacturers, airports, or other aviation businesses.

Automation itself is not new. Modern aircraft already rely on autopilot systems, flight management computers, warning systems, and advanced avionics.

What makes newer AI-enabled systems different is the possibility that software may do more than provide information or follow preset commands. Some systems may analyze conditions, recommend actions, or eventually make operational decisions with limited human involvement.

From an aviation insurance perspective, that difference matters because liability becomes more difficult to evaluate when decision-making is shared between a person and an automated system.

When Software Influences a Flight Decision

Consider a system that recommends an action during flight.

If a pilot follows the recommendation and an accident occurs, investigators may need to evaluate whether the outcome was connected to pilot judgment, aircraft operation, software design, system integration, maintenance, or some combination of those factors.

The opposite scenario can raise questions too. If a pilot ignores an automated recommendation and an incident follows, the investigation may focus on whether the pilot’s decision was reasonable, whether the system’s recommendation was reliable, and how clearly responsibility was defined.

Potentially involved parties may include:

The pilot in command
The aircraft owner or operator
The aircraft manufacturer
The software developer
The autonomous system manufacturer
Maintenance or technical service providers

Why This Matters to Insurers

The more responsibility shared between humans and software, the more important it becomes to understand who controls each part of the operation and what happens when those systems disagree or fail.

The Level of Automation Matters

Not all automated systems create the same type of risk. One of the most important distinctions is the level of authority the system has and how much human involvement remains.

System Type	Human Role	Potential Insurance Consideration
Decision support	Pilot receives information or recommendations	Pilot generally remains the primary decision-maker
Human-in-the-loop	System recommends or initiates actions that require human approval	Responsibility may involve both pilot decisions and system performance
Human-on-the-loop	Automation operates while a person supervises	Monitoring, intervention, and override procedures become more important
Highly autonomous	System performs significant portions of the operation with limited human input	Software, manufacturer, and product liability exposures may increase

As aircraft become more automated, insurers may increasingly look at not only who is flying the aircraft, but also how the software participates in the operation.

AI Could Add New Questions to Aviation Underwriting

Aircraft insurance underwriting already involves a detailed review of risk.

Insurers commonly consider aircraft value, aircraft type, pilot experience, training, intended use, maintenance, operating territory, claims history, and other factors when evaluating aircraft insurance.

As AI-enabled systems become more common, underwriters may eventually need to ask additional questions.

Those questions could include:

What decisions can the automated system make?
Does the pilot approve those decisions or simply monitor them?
Can the pilot immediately override the system?
Who developed and maintains the software?
How are software updates tested and documented?
How are failures or abnormal conditions handled?
Can the system’s actions be reconstructed after an incident?
What training does the operator receive for the automated system?

This does not necessarily mean AI will make an aircraft harder to insure. Advanced automation may improve consistency, situational awareness, and safety in some applications.

What matters to an underwriter is understanding the actual exposure.

Using Advanced Technology in Your Aircraft or Aviation Operation?

Aero Insurance can help review how your aircraft, pilots, operations, and emerging technology exposures fit within your current aviation insurance program.

Software Updates Could Become Part of the Risk

One of the more complex issues with AI-enabled systems is that software does not necessarily remain static over the life of an aircraft.

Traditional aircraft components can be inspected, repaired, replaced, and documented. Software may also change through updates, revised algorithms, configuration changes, or new datasets.

If an incident involves an AI-enabled aviation system, investigators may eventually need to examine questions such as:

Which software version was operating at the time?
When was the system last updated?
Who approved or installed the update?
How was the update tested?
What information did the system receive before taking action?
Can investigators determine why the system selected a particular response?

For aircraft operators and aviation businesses, that may make technology documentation increasingly important.

Product Liability May Become More Important

As software assumes functions traditionally performed by pilots, some accidents may place more attention on the organizations that designed, manufactured, programmed, tested, or maintained those systems.

That could increase the overlap between traditional operational liability and aviation product liability.

An incident involving autonomous or AI-enabled technology could potentially raise questions related to:

Aircraft operation
Pilot oversight
Software design
System integration
Manufacturing defects
Software updates
Maintenance procedures
Operator training

That does not mean responsibility automatically shifts away from aircraft owners or operators. Instead, future claims may involve more parties and potentially more than one insurance policy.

Safety and Liability Are Different Questions

One of the more important points in Porges’ article is that the liability discussion is not simply about whether AI can eventually outperform a human pilot.

“The defining liability question of autonomous aviation may not be whether AI can fly more safely than a human pilot…”

— Sarah Porges, Global Aerospace

The larger question is how responsibility is assigned when an automated system makes a safety-critical decision.

Even if autonomous systems eventually reduce certain types of accidents, insurers, operators, manufacturers, regulators, and courts will still need to determine how responsibility should be allocated when something unexpected happens.

Read Sarah Porges’ full analysis at Global Aerospace.

What Aircraft Owners and Operators Should Consider

For most aircraft owners today, AI is not suddenly changing the fundamental structure of an aircraft insurance policy.

But the direction of the industry is still worth paying attention to.

Aircraft owners and operators should understand what automated systems aboard their aircraft actually do rather than treating all automation as the same.

There can be an important difference between:

A system that provides information
A system that recommends an action
A system that automatically performs an action
A system that independently controls part of an operation

As these technologies evolve, strong risk management will continue to depend on familiar fundamentals such as training, maintenance, documentation, operating procedures, appropriate liability limits, and insurance coverage that reflects how the aircraft is actually used.

The Aero Insurance Perspective

At Aero Insurance, our role is to help aircraft owners and aviation businesses understand how their actual operations translate into insurance exposure and coverage needs.

AI and autonomous systems are still evolving, and aviation insurers will continue adapting as the technology, regulations, and loss data develop.

For operators using advanced automation, one of the most important steps is making sure their aviation insurance professional understands exactly how that technology is being used.

Two aircraft may appear similar from a traditional underwriting standpoint but present different exposures if one relies on substantially more advanced automation.

The goal is not to label a technology as automatically positive or negative from an insurance standpoint. The goal is to understand the risk accurately enough to structure coverage appropriately.

Keep Your Insurance Advisor Informed

If your aircraft or aviation business adopts new autonomous, AI-enabled, or advanced flight technology, discuss the change with your aviation insurance broker rather than waiting until renewal.

Have Questions About Technology and Aviation Insurance?

Aero Insurance works with aircraft owners, operators, and aviation businesses to evaluate coverage based on how aircraft are actually operated.

Final Thoughts on AI and Aviation Liability

Artificial intelligence has the potential to improve aviation safety, efficiency, and decision-making, but greater automation also introduces new questions about responsibility.

As systems move from assisting pilots toward making more operational decisions themselves, aviation insurers may need to evaluate risk differently. Liability may increasingly involve not only pilots and operators, but also software developers, manufacturers, system integrators, and other technology providers.

For aircraft owners and aviation businesses, the practical takeaway is to understand the technology being used, document how it is operated and maintained, and make sure the insurance program reflects the actual exposure.

The Original Global Aerospace Perspective

This Aero Insurance article builds on issues discussed by Sarah Porges, SVP, Aerospace Client Executive at Global Aerospace, in “AI in Aviation Liability: Who Owns the Risk When Traditional Pilot Responsibilities Are Handled by Software?”

Porges explores how artificial intelligence and autonomous flight systems may reshape traditional ideas of responsibility as software takes on more safety-critical roles.

We encourage readers to review her original article for the full discussion and additional context.

Read the full article at Global Aerospace →

This article is provided for general informational purposes only and should not be interpreted as legal advice or a determination of insurance coverage. Actual coverage depends on the specific terms, conditions, limits, and exclusions of an individual insurance policy.

For informational purposes only.