Who Will Protect the Children?

I did this recently with a journalist I found in the Winston-Salem Journal. His actual work for the mostly propaganda environmental article was funded externally. The WSJ gave attributions to the two organizations that provided the funding.
So, I looked at one of the organizations. It was a greenwash organization that was run by a guy who used to work for the multi-billion tech company called Boston Consulting Group.
So, I looked into BCG… and lo and behold, it is “partnered” with all of the evil Big Tech companies that are building our digital gulag (See Cory Lynn’s book “The Global Landscape on Vaccine ID Passports” for detailed lists of who exactly is building this gulag).
I read an article on the definition of ‘generative’ AI that was on BCG’s website… and guess what they did? The article listed the “ethical considerations” of AI -- basically, a list of the bad shit that can happen with AI. BUT, they did not let the list be part of the article. They made it into a drop down that has to be activated by clicking the plus sign on the right. That way, it won’t show up on the Wayback machine (Archive.org) when the blame game starts in a few years. Here it is:
Source: https://www.bcg.com/x/artificial-intelligence/generative-ai
“THE ETHICAL ISSUES TIED TO GENERATIVE AI GOVERNANCE (+ or -) to show the drop down list of horrific ethical and operational issues possible with AI.
Here is the list of nasty possible outcomes from AI that BCG does not want you to see:
“THE ETHICAL ISSUES TIED TO GENERATIVE AI GOVERNANCE
As users experiment with these systems, there are serious ethical issues that need to be addressed:
1) Unknown Capabilities. Large generative AI systems such as ChatGPT have exhibited a massive capability overhang—skills and dangers that are not planned for in the development phase, and are generally unknown and unexpected even to the developers. This can pose a serious threat if the right guardrails are not in place to effectively manage unexpected usage.
2) Bias and Toxicity (??). Outputs from generative AI will be as biased as the data it is trained on. Many popular language models today are trained on the wilds of the internet, where there is plenty of bias—along with toxic language and ideas.
3) Data Leakage. Many companies have quickly put policies in place to forbid employees from entering sensitive information into ChatGPT, fearing that it could get incorporated into the AI model and re-emerge in public.
4) Hallucination. ChatGPT can make arguments that sound extremely convincing but are 100% wrong. Developers refer to this as “hallucination,” a potential outcome that limits the reliability of the answers coming from AI models.
5) Lack of Transparency. Generative AI models currently provide no attribution for the facts underlying the content they generate, which makes it impossible to verify the correctness of generated claims—further increasing the danger posed by AI-model hallucinations.
6) Copyright Controversies. Since the data sets used by AI models are derived from the public internet, a legal question arises: Does the content those models create amount to the duplicating of copyrighted works?”
[Compiler’s Note: This entire section needs a detailed article of it’s own. To include it as a ‘hidden’ drop down text in BCG’s main promotional article for Artificial Intelligence or Machine Learning based programs says it all. The people behind the promotion of this technology are very aware of the hell they are potentially unleashing on the planet with uncontrollable AI.]