Keywords: Task approach, trustworthy AI
Abstract: Artificial intelligence systems are now integral to virtually every facet of our lives, exhibiting an ability to reason and solve problems within defined formal frameworks. However, challenges remain, particularly the issue of hallucination—where AI systems generate incorrect or misleading information. This paper proposes a task-based approach to building reliable AI systems, focusing on the task itself and the criteria necessary for its resolution. Our objective is to ensure that AI systems not only provide solutions but also possess an understanding of the underlying limitations of the problem. This includes identifying the axioms and theorems involved, allowing the solution process to be informed by a clear comprehension of the problem's structure and constraints.
Submission Number: 12
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