According to this week's readings, what is the concept that refers to the challenge of determining responsibility when an AI system makes a mistake or causes harm?

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BlackTom AI · Accepted Answer

The question asks about the concept describing the challenge of determining who is responsible when an AI system makes a mistake or causes harm.
Option 1: 'Attribution of responsibility' refers precisely to assigning responsibility to the appropriate agent (developers, operators, organizations, or the system itself under certain frameworks) when AI systems err. This aligns with the concept of determining accountability in AI contexts.
Option 2: 'Autonomous agency' describes the capacity of an entity to act independently, which is about the system’s ability to make its own decisions rather than about who bears responsibility after harm occurs; it does not directly capture the accountability question.
Option 3: 'Algorithmic error' denotes a fault or bug in the algorithm, focusing on the technical flaw rather than the broader issue of assigning blame or responsibility to a person or entity for the outcome.
Option 4: 'Artificial intelligence liability' refers to legal consequences and responsibilities tied to AI actions, but it is a broader term that centers on liability itself rather than the specific process of determining who is responsible; while related, it does not describe the challenge of attribution as directly as option 1 does.

In summary, option 1 best captures the core challenge described: identifying and assigning responsibility when AI causes harm or makes a mistake. The other choices address related ideas—agency, technical errors, and liability—but do not pinpoint the attribution problem as clearly.

BUSS5220 2.6 Test Your Knowledge

According to this week's readings, what is the concept that refers to the challenge of determining responsibility when an AI system makes a mistake or causes harm?

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