AI call centers for Reinforcement learning to correct the feedback.

— We need AI call centers to do reinforcement learning so that chatbots, bots, and Sentient AI know what is wrong and what is right in doubtful and uncommon situations.

— This way, one day AI may become a safe haven for all. Until then, we work with caution.

— We also hire volunteers to perform unique use cases, similar to creating test cases in software testing labs.

— Call them validation engineers, but they would be of different skill sets.

— Why should AI algorithms go untested?

— Let’s test them in AI testing labs.

— Volunteers are needed, and they will be paid for their work.

— Volunteers from all segments of life are essential to ensure diversity in testing — across age groups, cultural backgrounds, and topics, from sensitive to generic.

— It must be a representative sample of both the population and the topics. Provide them with questions and have AI experts evaluate whether the results are usable or not.

— Tag the data on a 5-point scale and use it for reinforcement learning. Bad lessons learned from the internet bad books can’t be removed easily, so overflow the results with prominence into reinforcement learning.

— Plan the experiments carefully in advance.

— When to start? If not now then when?

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