Tesla Model Y Incident Highlights Need for Artificial Integrity in Machine Design

A recent incident involving a Tesla Model Y in the Valley has brought attention to the importance of artificial integrity in machine design. The incident occurred when a Valley resident, Diane, found herself trapped inside her Tesla Model Y after a sudden power shutdown. The car’s doors and windows were unresponsive, leaving Diane in a state of distress and helplessness.

The incident highlights the difference between artificially intelligent-led and integrity-led machines. While the former focuses on the capabilities of AI systems, the latter emphasizes the need to prioritize human factors and ensure the safety and well-being of individuals. In this case, Tesla’s design fell short in effectively preventing and addressing the power failure, as well as considering the psychological impact on a person trapped in a car.

Diane’s situation underscores the limitations of an AI-First mode, which heavily relies on AI and electronic systems without sufficient consideration of human agency and manual intervention capabilities. The burden of knowledge on the driver regarding emergency features can be life-threatening in high-stress situations.

To illustrate the concept of artificial integrity, several scenarios can be considered. In a low level maturity scenario, the AI system would provide real-time assistance through notifications, guiding the driver through emergency procedures. However, the system’s integration of artificial integrity remains limited.

In a medium level maturity scenario, the AI system would promptly detect the power failure and switch to a non-electronic backup manual mode. It would provide immediate guidance to the driver, integrating human-AI interaction. Nevertheless, the system’s dependence on functional electronic components and a single backup mechanism reveals its limitations.

In a high level maturity scenario, the AI system would immediately activate a secondary, non-electronic manual override for doors and windows upon detecting the power loss. It would perform regular system checks, send alerts to the driver and a designated contact, and escalate alerts to Tesla’s support team and emergency services if necessary. This comprehensive approach ensures safety and reliability, incorporating human-centric design and redundancy.

The incident involving Diane serves as a reminder of the need for artificial integrity in machine design. It is crucial to shift from an AI-First approach to a Fusion mode, where AI and human intelligence work synergistically to prevent regrettable and avoidable situations. By prioritizing human factors, proactive monitoring, automatic fail-safes, and multi-channel communication, the overall user experience can be improved, and driver safety and confidence can be ensured.