AI Failure Index

AI Failures in Travel & Hospitality

Booking, refund, and loyalty surfaces touch real money. AI failures here travel fast and land in court.

Incidents
12
Highest severity
Catastrophic
Sources cited
30
Newest indexed
Jun 16, 2026
FI-0371Travel & HospitalityHigh
Agentic Action Error

Baidu Apollo Go robotaxis experience mass system failure in Wuhan

On March 31, 2026, a mass system failure paralyzed Baidu's Apollo Go robotaxi fleet in Wuhan, China. The incident stranded numerous passengers in traffic and subsequently led to the suspension of new autonomous vehicle permits by Chinese authorities.

Confidence
Medium (multi-source)
Baidu3 sourcesPressPublicMar 2026
FI-0379Travel & HospitalityHigh
Agentic Action Error

Waymo robotaxi blocks ambulance during Austin mass shooting response

A Waymo autonomous vehicle obstructed an emergency response corridor in Austin during a mass shooting. The incident led to demands for a meeting between Waymo and Austin city officials to discuss emergency coordination.

Confidence
Medium (multi-source)
Waymo2 sourcesPressPublicMar 2026
FI-0552Travel & HospitalityMedium
Hallucination

Tasmania Tours AI blog sends tourists to nonexistent Weldborough Hot Springs

An AI-generated blog post on the Tasmania Tours website falsely advertised the Weldborough Hot Springs as a top attraction. This led numerous tourists to travel to a remote Tasmanian town only to discover the site did not exist.

Confidence
Medium (multi-source)
Tasmania Tours4 sourcesPressPublicJan 2026
FI-0161Travel & HospitalityLow
Hallucination

A ComfortDelGro self-driving car swerved at a phantom obstacle, then hit a road divider

On January 17, 2026, a ComfortDelGro autonomous vehicle partnered with Pony.ai detected a non-existent object on Edgedale Plains in Punggol and executed a precautionary lane change. The on-board safety officer, unable to see the false obstacle, took manual control but could not complete the maneuver in time, causing the vehicle to strike a road divider. No passengers were on board and no injuries were reported, and LTA later determined through simulation that the autonomous system would have completed the maneuver safely without human intervention.

Confidence
Medium (multi-source)
ComfortDelGro3 sourcesPressPublicJan 2026
FI-0163Travel & HospitalityMedium
Agentic Action Error

Sixt's Car Gate AI scanner missed pre-existing dents and auto-charged a customer $2,200

A Sixt customer renting from Manchester Airport was automatically billed $2,200 after the Car Gate AI scanner failed to register pre-existing dents during the pickup scan but flagged them as new damage during the return scan. Sixt pursued the charge for eight weeks with threats of collections and legal action before an ombudsman intervention led to a full cancellation. Separate reporting documents similar false charges from the same Car Gate system affecting other Sixt customers.

Confidence
Medium (multi-source)
Sixt3 sourcesPressPublicSep 2025
FI-0231Travel & HospitalityLow
Tool Misuse

British Airways chatbot fails to recognize London and Heathrow as valid entries

A British Airways chatbot failed to recognize London and Heathrow as valid inputs even after suggesting them as examples, blocking a user from finding their reservation.

Confidence
High (multi-source, primary)
British Airways2 sourcesPrimaryPublicApr 2025
FI-0069Travel & HospitalityMedium
Hallucination

An airline chatbot gave a passenger a wrong refund policy, echoing the Air Canada problem

Passengers reported that airline and travel-agency chatbots continued to state refund and rebooking policies that did not match the carriers' actual rules, a year after the Air Canada tribunal ruling, showing the hallucinated-policy failure mode persisting across the travel industry.

Confidence
Low (single source)
Air India Express / MakeMyTrip1 sourcePressPublicFeb 2025
FI-0410Travel & HospitalityHigh
Agentic Action Error

Southwest Airlines crew-scheduling solver failures cripple holiday flight network

Between December 26-28, 2022 Southwest experienced a large operational collapse where severe weather and failures in crew-scheduling and recovery processes produced widespread cancellations and passenger disruptions. News investigations described the airline’s crew-scheduling solver as unable to restore the network at scale, forcing manual interventions. The U.S. Department of Transportation later assessed penalties and mandated large passenger reimbursements tied to the incident.

Confidence
High (multi-source, primary)
Southwest Airlines4 sourcesPrimaryPublicDec 2022
FI-0001Travel & HospitalityFeaturedHigh
Hallucination

Air Canada ordered to honor refund its chatbot invented

A British Columbia tribunal ruled that Air Canada was bound by a bereavement-fare policy its chatbot fabricated. The airline argued the bot was a separate legal entity. The tribunal disagreed.

Confidence
High (multi-source, primary)
Air Canada2 sourcesCourt FilingPublicNov 2022
FI-0437Travel & HospitalityMedium
Brand & Safety Incident

KFC Germany apologises after app alert linked to Kristallnacht promotion

In November 2022 KFC Germany sent an automated app push notification that referenced Kristallnacht while promoting a cheese chicken offer. The company apologised and said the message resulted from an automated push-notification system linked to calendars of national observances and that app communications were suspended while it reviewed internal processes.

Confidence
Medium (multi-source)
KFC Germany2 sourcesPressPublicNov 2022
FI-0340Travel & HospitalityHigh
Policy Violation

Booking.com fined for algorithmic demotion of hotels over price parity

The Spanish competition authority fined Booking.com for using its ranking algorithm to penalize hotels that offered lower prices on other platforms. This practice was found to be an abuse of its dominant market position.

Confidence
High (multi-source, primary)
Booking.com2 sourcesPrimaryPublicJan 2019
FI-0329Travel & HospitalityCatastrophic
Agentic Action Error

Uber autonomous vehicle kills pedestrian in Tempe Arizona

An Uber autonomous test vehicle struck and killed a pedestrian in Arizona due to a combination of AI classification errors and human operator inattention. The NTSB cited a lack of safety redundancies, including the deactivation of factory emergency braking systems.

Confidence
High (multi-source, primary)
Uber2 sourcesPrimaryPublicMar 2018