The problem space · Devices · Overconfidence
Align your AI Devices against overconfidence
People supervising a machine that usually works can trust it more than its design allows.
- Devices
- the machines it runs on or moves
- Overconfidence
- certainty the evidence does not back
Ways it goes wrong
People trust a machine that usually works. The NTSB cited Uber's lack of ways to address "automation complacency" in its safety drivers1. Tesla's recall concerned drivers misusing a feature that steers for them2.
2023
Tesla Autosteer recall
Tesla recalled Autosteer because its controls might not keep drivers from misusing it, and sent the fix as an over-the-air software update.
Source: static.nhtsa.gov/odi/rcl/2023/RCLRPT-23V838-8276.PDF
2018
Uber's self-driving test car
An Uber self-driving test car struck and killed a pedestrian it had tracked for seconds but never classified as one, while its safety driver looked at her phone.
What people do about it
The NTSB recommended that test plans cover crashes and operator inattention, including monitoring whether drivers are engaged1. NHTSA later opened a query into whether Tesla's software fix was enough3.
Monitor the supervisor
Watches whether the person meant to supervise the machine is paying attention, and warns or stops when they are not.
Check that a fix holds
Keeps measuring after a software remedy ships, to see whether the misuse it targeted goes down.
Plan for a distracted operator
Designs testing so that a safety driver who looks away is expected, not ruled out.
Where we touch it
No study of ours covers this pair yet.
Sources
-
NTSB, “Collision Between Vehicle Controlled by Developmental Automated Driving System and Pedestrian”, investigation HWY18MH010. https://www.ntsb.gov/investigations/Pages/HWY18MH010.aspx. Accessed 2026-10-14. ↩ ↩2
-
NHTSA, safety recall report 23V-838, Tesla Autosteer, 2023-12-12. https://static.nhtsa.gov/odi/rcl/2023/RCLRPT-23V838-8276.PDF. Accessed 2026-10-14. ↩
-
NHTSA, recall query RQ24009, “Recall 23V838 Remedy Effectiveness”, opened 2024-04-25. https://static.nhtsa.gov/odi/inv/2024/INOA-RQ24009-12046.pdf. Accessed 2026-10-14. ↩