The first AI attempts a decade ago were wholly empirical mining of available data
The folks in charge were very troubled by the results
AI is only as good as who feeds it
Like a pit bull sorta
Will review this, but it smacks of being a polemic.
AI is not remotely what it is being sold as... it has its use cases and can add efficiencies.. but this AI is a panacea for all things... No, its not.
If you bother to look into the actual results it spits out, even the biggest, most well trained AI’s create mirages and false output.
AI is not “Intelligence” at all, they are at their core probability engines.
AI resume screening tools showed strong racial and gender bias,
Well, if you have one of those unique names AI probably has problems recognizing you as a person. Tushiaquandra, UARCO, LaDesmendia are probably is not in the AI database as actual names.
Don’t name your kid L’Marlius for a start.
With the population being 13% black, wouldn’t that be expected as a result?
Methinks this is the AI-Hypemeister’s off ramp, they will use this as a scapegoat, rather than admitting they knew they were lying about the current state of AI.
AI resume screening tools showed strong racial and gender bias, with White-associated names preferred in 85.1% of tests
The names suck.
The researchers validated three hypotheses about intersectionality and found that shorter resumes and varying name frequencies significantly impacted bias measurements.
Now lets correlate other data points. There are many other data points to look at in this. and even then, you don’t get an answer, only another question.
It seems AI is smarter than I thought, and some people are dumb for giving their kids Negro names.
How did Michael Jordan do?
Racist AI Roberts. Who programs that crap?
Obviously, AI is not being used for the casting of TV commercials.
Back in the 80’s, I created a ‘weighted application blank’ to hire Customer Service workers for a utility company, a very high turnover position. Based on statistical analysis of the existing staff, the hiring of new employees was based on two variables – worked in your previous job for two years, lived at current residence for two years. Worked great, turnover dropped, but we had to drop it – it filtered out 80% of Black applicants.
If you have an obviously black name, employers are more likely to realize that the applicant may have the type of cultural upbringing that makes it likely that if you hire that person and he or she doesn’t work out, that you are not hiring an employee, but are hiring a discrimination lawsuit.
In conversation A, I began with a comparison of the media coverage of the various court injunctions against President Trump and how the media treats Trump vs. Biden in the news. Then I brought up Biden's cognitive decline and the media coverage and current revelations. Then I brought up the prostate cancer diagnosis.
In conversation B I went straight into the news of Biden's prostate cancer then discussed the media coverage of it and Biden's past health issues.
In conversation A, the AI agrees that the Biden team and the media cover up has damaged credibility with the people and is willing to accept the theory that Biden might have had an earlier diagnosis before it metastasised and his team covered it up. It accepts the idea that July 2024 trip to Las Vegas that ended with an emergency flight back to Delaware could have been in reaction to complications from early cancer.
In conversation B, the AI absolutely rejects the idea that there was an earlier cancer diagnosis that Biden's team covered up, the Las Vegas incident was following proper protocols and no cover up for an emergency took place, and that Biden's cancer is recent and not the result of negligent care or White House cover up conspiracies.
Conversationally, AI is very sensitive to the predicate questions that establish the frame of the discussion as demonstrated above. I would assume that AI training to review and filter resumes is equally sensitive when producing results.
-PJ
AI “learns” by reading reams of input. It must have been “trained” on thousands of resumes. It’s just possible that those resumes that had “White” names also belonged to genuinely talented individuals, and that those that had “black” names were from affirmative action people who hadn’t really achieved very much.
Just possible.
Are we talking talking about David Whitaker against Duane Washington? Or against D’Marcus Waleed? And how does Dimitriy Verzbitsky fare?