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Is the need to validate that GenAI's training data is ethically sourced being given only lip-service?

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Patrick Winter Principal and Senior Delivery Lead| DxW Consultants Toronto, Ontario, Canada
The PMI course "Generative AI Overview for Project Managers" provided a great summary of GenAI as relevant to how PMs can use it to enhance productivity.

One of the course's suggestions was to validate that data used to train a GenAI was ethically sourced, before starting to use that particular GenAI.

QUESTION: Is that just lip-service being paid to a crucial ethical issue? How feasible is it for an individual practitioner, or even a corporation, interested in using GenAI to validate how ethically the training data was sourced, given there don't seem to be any widely-known global standards for AI companies to adhere to?

It's a particularly interesting point, as there has already been widespread media reporting on ethically questionable practices in training GenAIs, e.g.:

 - How at least one well-known GenAI provider outsourced the "training" of its GenAI on what types of content NOT to generate, by having low-paid workers review and flag as objectional masses of horrific content (exploitive, violent, extremist, etc.) at great psychological cost to those workers.

 - How multiple GenAI providers are facing lawsuits for copyright infringement, unlawful use, etc. as a result of having trained their GenAIs on proprietary, copyrighted works without permission.

Thanks!
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Rami Kaibni
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Senior Projects Manager | Field & Marten Associates New Westminster, British Columbia, Canada
Patrick, this is the million dollars question. If I have any reservations on AI, it would be: Ethical Considerations, Privacy and Security so your concern is spot on. Given that AI is still in it's infancy and there are very little regulations, those concerns remain unclear and in a grey area. Reminds me when cryptocurrency first surfaced to life!
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Sergio Luis Conte Helping to create solutions for everyone| Worldwide based Organizations Buenos Aires, Argentina
The course is about generative AI, as you mentioned. When organizations like to use generative AI in their business they must take into account that almost a new business unit must be created. In this business unit organizations has to include lawyers, inclusion specialist, linguistic specialist, as the minimum roles. Pay attention to data is just a small part. No matter the data the results and the prompts (questions) users "ask" to generative AI entity must determine the answers.

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