Can Generative AI Be Saved From AI Hallucinations By Using Chain-Of-Thought Step-By-Step Techniques, Asks AI Ethics And AI Law

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Can Generative AI Be Saved From AI Hallucinations By Using Chain-Of-Thought Step-By-Step Techniques, Asks AI Ethics And AI Law
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Generative AI is prone to AI hallucinations, but maybe the use of chain-of-thought step-by-step techniques can overcome or at least reduce such maladies. Here's the deal.

The development and promulgation of Ethical AI precepts are being pursued to hopefully prevent society from falling into a myriad of AI-inducing traps. For my coverage of the UN AI Ethics principles as devised and supported by nearly 200 countries via the efforts of UNESCO, see. In a similar vein, new AI laws are being explored to try and keep AI on an even keel. One of the latest takes consists of a set of proposed AI Bill of Rights that the U.S.

The twist is that if you leave the wolf alone with the goat, the dastardly wolf will eat the gentle goat. If you leave the goat alone with the cabbage, the hungry goat will eat the cabbage. Your subgoals are that you must preserve the existence of the wolf, the goat, and the cabbage. Allowing any of them to be consumed is a losing proposition.As a spoiler alert, I am going to explain how it is solved. Skip the next two paragraphs if you don’t want to know how it pans out.

A step-by-step approach is often required in real life. For example, attorneys are usually required to lay out their legal cases on a step-by-step basis. A judge needs to see what logic the attorney is making use of. A faulty form of logic is likely to undermine the position of the attorney. A strong semblance of logic will typically bolster the attorney’s arguments.

You seek to get a step-by-step follow-up elaboration of an answer that the generative AI has already given you. The data-training review and guidance of the generative AI have been performed on a step-by-step basis. Again, the research on this is rather mixed. All kinds of twists and turns can enter into the picture as to whether a step-by-step is going to get you more reliable or accurate responses from generative AI. The crux, as I’ve repeatedly stated, would be that you, the user, can at least inspect the steps and therefore potentially heighten your chances of discerning what might be afoot.

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