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| Bokhari: Machine Learning Fairness – A Globalist-Funded Effort to Control AI |
| 2023-02-24 |
| [Breitbart] As eerily human-like AI chatbots exploded into the public consciousness, so too have highly publicized examples of their political bias. Why do AI programs, Microsoft-funded ChatGPT in particular, seem to think like radical Democrat activists? The answer may lie in a obscure academic field that is rapidly rising in prominence. Its name is Machine Learning Fairness, and it is to computer science what critical race theory is to the rest of academia. The field of machine learning (ML) fairness, much like the vast empire of “disinformation” studies that emerged after 2016, exists for a single purpose: to guarantee the technology of the future upholds leftist narratives. It is an attempt by left-wing academics to merge the field of machine learning, which deals with the creation and training of AI systems, with familiar leftist fields: feminism, gender studies, and critical race theory. The most vocal proponents of ML fairness use a rhetorical motte-and-bailey strategy to advance their cause. Often, they will lead their presentations with examples of AI errors that seem reasonable to correct, like facial recognition software failing to recognize darker skin tones. Crucially, they do not present these as simple problems of inaccuracy, but problems of unfairness. This is on purpose — lurking behind these inoffensive examples are much more dubious goals, that actually push AI to make inaccurate conclusions, and ignore certain types of data, in the name of “fairness.” And their work doesn’t result in dry academic papers — it results in the documented leftist bias of consumer-level programs like ChatGPT, a bias the corporate media is actively defending. If you haven’t been paying close attention to the rise of ChatGPT and Microsoft’s chatbot built on the same technology, here is what’s been going on:
One prominent research organization, the AI Now Institute, says its goal is to ensure AI remains “sensitive and responsive to the people who bear the highest risk of bias, error, or exploitation.” Another group, the Algorithmic Justice League, warns that AI can “perpetuate racism, sexism, ableism, and other harmful forms of discrimination.” As you may have guessed, the terms “bias,” “fairness,” and “ethical” are all highly subjective when used by the proponents of ML fairness. AIs operate on the basis of inputs and outputs, and ML fairness advocates tend to be concerned with the latter. If an AI produces an output that unequally impacts a protected group, ML fairness holds that the AI in question must be biased or unfair — regardless of how impartially it considered the inputs. If you understand the left’s preoccupation with equality of outcomes, then you understand the goals of ML fairness. “We have used tools of computational creation to unlock immense wealth,” says Algorithmic Justice founder Joy Buolamwini. “We now have the opportunity to unlock even greater equality if we make social change a priority and not an afterthought.” |
| Posted by:Skidmark |
| #3 Trail of Funding for AI ‘Machine Learning Fairness’ Leads to Leftist Billionaires Omidyar, Hoffman, Soros We need a Soros vs. Musk competition. |
| Posted by: Skidmark 2023-02-24 10:48 |
| #2 Turning to the Oracle. ChatGTP confession: Global warming? Not much since 2016 |
| Posted by: Skidmark 2023-02-24 09:02 |
| #1 666 |
| Posted by: Woodrow 2023-02-24 02:35 |