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Notes -
Another scary AI is Becoming Racist article from the media.
https://www.theguardian.com/technology/2024/mar/16/ai-racism-chatgpt-gemini-bias
The title is pretty comical. As AI tools get smarter, they’re growing more covertly racist, experts find
Hummm...seems problematic.
It goes on about how ebonics is judged harshly by the AI models. Without doing comparisons to other low status language markers such as WV dialects. The title implies that the smarter and more predictive the model becomes the more secretly racist it becomes.
There is also this gem-
It ends on this note from Avijit Ghosh https://evijit.io/assets/pdf/Avijit_CV.pdf
“Racist people exist all over the country; we don’t need to put them in jail, but we try to not allow them to be in charge of hiring and recruiting. Technology should be regulated in a similar way.”
He almost says the quiet part out loud. This is coming from someone that earned their phd LAST YEAR and moved to the USA in 2019. He is a quick learner, getting on that Gender Identity and Racial Equity grift right out of the gate! Much easier than working for a living.
His peer reviewed conference publications.
Perceptions in pixels: analyzing perceived gender and skin tone in real-world image search results WWW ’24
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms AIES ’23
When Fair Classification Meets Noisy Protected Attributes AIES ’23
Queer In AI: A Case Study in Community-Led Participatory AI FAccT ’23
Subverting Fair Image Search with Generative Adversarial Perturbations FAccT ’22
FairCanary: Rapid Continuous Explainable Fairness AIES ’22
Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences AIES ’22
When Fair Ranking Meets Uncertain Inference SIGIR ’21
Building and Auditing Fair Algorithms: A Case Study in Candidate Screening FAccT ’21
Public Sphere 2.0: Targeted Commenting in Online News Media ECIR ’19
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