The difference between artificially intelligent-led and integrity-led machines is simple: the former are designed because we could; the latter because we should. This distinction underscores the growing need for Artificial Integrity.
A recent incident involving a Tesla Model Y, where a Valley resident found herself trapped inside her car, underscores the difference between intelligent-led and integrity-led machine design.
One day, Diane’s car's power unexpectedly shut down, trapping her inside with no way to open the doors or windows. Even the glove box, containing the owner's manual, was locked.
Desperate, Diane called a neighbor who couldn't open the car from the outside. Eventually, through the Tesla app, she learned via text about a hidden, unmarked manual latch on the underside of the armrest, which finally freed her.
The issue of Diane being trapped in her Tesla Model Y due to a battery shutdown is not isolated and primarily highlights the artificial integrity limitations in Tesla’s design.
Diane’s car’s situation is characterized by an AI-First mode, which implies an heavy reliance on AI and electronic systems, without sufficient consideration of human factors, human agency through manual intervention capabilities.
It fell short in effectively preventing and addressing the power failure and ensuring Diane's safety. It also failed to consider the psychological state of a person being trapped in a car and the associated stress of feeling powerless and lacking control over the machine.
This scenario places an undue burden on the driver's knowledge of the car's emergency features, which can be life-threatening in high-stress situations.
A scenario that illustrates artificial integrity would have been for the car to be designed to shift from AI-First mode to Fusion Mode, thus transitioning from heavy reliance on AI to a synergistic approach where the AI system and human intelligence work together seamlessly.
This involves designing AI systems that not only manage technical aspects but also support human conditions and reactions, providing clear, accessible support and fail-safes that consider human psychology and stress responses.
Let’s explore what could have been scenarios where the Diane’s Tesla would have exhibited artificial integrity, shifting from AI First to Fusion mode in its functioning.
Scenario of a low level maturity of artificial integrity
Diane’s car powers down unexpectedly, but this time, the AI system detects the power failure and attempts to assist. A notification pops up on her phone, instructing her on how to use the manual door release. The notification includes a clear diagram showing the location of the hidden latch.
In this scenario, the AI system shows a basic attempt to shift from an AI First mode to a Fusion Mode by providing real-time assistance through notifications. However, the system’s ability to consider human factors and proactively support the situation is still limited. The AI attempts to bridge the gap by guiding Diane through the emergency procedure, but the heavy reliance on external devices and the lack of intuitive design elements for manual overrides underscore the system’s immature integration of artificial integrity.
Scenario of a medium level maturity of artificial integrity
As Diane’s Tesla shuts down, the AI system detects the loss of power and attempts to switch to a non-electronic backup manual mode. The AI system promptly displays a message on the central screen and her phone, explaining the situation and guiding her to the manual release latch on the door. The latch, designed for easy access and visibility, glows softly to attract attention.
This scenario demonstrates an improved attempt by the AI system to shift from an AI First mode to a Fusion Mode. AI plays an active role in detecting the power failure and providing immediate guidance, thus integrating human-AI interaction. However, the system's dependence on functional electronic components and a single backup mechanism highlights its limitations.
Scenario of a high level Maturity of artificial integrity
As Diane’s Tesla shuts down, the AI system immediately detects the power loss and activates a secondary, non-electronic manual override for doors and windows. The AI also performs regular system checks and sends alerts to notify Diane well in advance about the status of both the main and auxiliary batteries. Upon detecting the power failure, the doors and windows seamlessly switch to manual mode. Diane receives a detailed explanation on her phone about what has happened, along with step-by-step instructions displayed on the car's central screen and through an audible alert system. Additionally, the detailed explanation is also sent to a trusted person (whether it is family, a friend, etc.) whom Diane has designated in advance to be alerted in case of any trouble encountered while using the car. Furthermore, the AI escalates alerts to Tesla’s roadside assistance support team and national emergency services if initial warnings are not acknowledged.
This scenario demonstrates a robust capability to shift from an AI First approach to a Fusion mode, where AI and human intelligence work synergistically to ensure safety and reliability. The AI system plays a proactive role in monitoring and communication while incorporating human-centric design and redundancy to mitigate the risk of failures and improve overall user experience. The scenario addresses some potential limitations through advanced AI functions, such as proactive monitoring, automatic fail-safes, and multi-channel communication, providing a comprehensive approach to driver safety and confidence.
We could think about other scenarios to ensure that Diane is driving a car that is not only artificially intelligent-led but also integrity-led, preventing her from experiencing regrettable but avoidable life-altering situations while using her car.
Artificial integrity over artificial intelligence represents this paradigm shift.
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