WEF’s “Global Intelligence Collecting AI” To Erase Ideas From The Internet

The World Economic Forum is becoming a little concerned. Unapproved opinions are becoming more popular, and online censors cannot keep up with millions of people becoming more aware and more vocal. The censorship engines employed by Internet platforms, turned out to be quite stupid and incapable. People are even daring to complain about the World Economic Forum, which is obviously completely unacceptable.

So, WEF author Inbal Goldberger came up with a solution: she proposes to collect off-platform intelligence from “millions of sources” to spy on people and new ideas, and then merge this information together for “content removal decisions” sent down to “Internet platforms”.

To overcome the barriers of traditional detection methodologies, we propose a new framework: rather than relying on AI to detect at scale and humans to review edge cases, an intelligence-based approach is crucial.

By bringing human-curated, multi-language, off-platform intelligence into learning sets, AI will then be able to detect nuanced, novel abuses at scale, before they reach mainstream platforms. Supplementing this smarter automated detection with human expertise to review edge cases and identify false positives and negatives and then feeding those findings back into training sets will allow us to create AI with human intelligence baked in. This more intelligent AI gets more sophisticated with each moderation decision, eventually allowing near-perfect detection, at scale.

What is this about? What’s new?

The way censorship is done these days is that each Internet platform, such as Twitter, has its own moderation team and a decision making engine. Twitter would only look at tweets by any specific twitter user, when deciding on whether to delete any tweets or suspend their authors. Twitter moderators do NOT look at Gettr or other external websites.- READ MORE