ONLINE EVENT: Discrimination By Algorithm – Will Technology Subvert Supreme Court’s Affirmative Action Ruling? (Sunday, July 23 at 7:30 PM Eastern)
Exploring what the future holds for stealth quotas and what can be done to stop them is the focus of this free online webinar.
Discrimination by algorithm and AI to achieve stealth quotas unfortunately is not new, but it is the wave of the future after the Supreme Court ruling rejecting Affirmative Action. REGISTER HERE for this FREE online webinar to learn how stealth quotas work and what can be done to stop them.
Background
You may have learned about the use of algorithms to manipulate pools of job applicants through our exposé about LinkedIn’s ‘Diversity in Recruiting’ function. But it’s not limited to LinkedIn. Already there is tremendous pressure in many places to manipulate alogirithms and Artificial Intelligence to achieve predetermined racial, ethnic, and sex quotas. This pernicious discrimination is unseen and generally unknown to job seekers, and even in many ways to recruiters/employers. These stealth quotas will be part of the efforts to evade the Supreme Court’s ruling striking down race-based affirmative action. What once was done in plain sight will be done out of sight. You have been warned! REGISTER HERE.
This event is sponsored by the Equal Protection Project.
Event Description
Did you know that algorithms and artificial intelligence programs already are being used to achieve quotas and that there is tremendous pressure to further adjust the technology to evade the Supreme Court’s Affirmative Action ruling? It’s happening, and going to get much worse. Exploring what the future holds for stealth quotas and what can be done to stop them is the focus of this free online webinar.
About the speakers:
Stewart Baker is Of Counsel to Steptoe & Johnson LLP in Washington, D.C. His career has spanned national security and law. He served as General Counsel of the National Security Agency, Assistant Secretary for Policy at the Department of Homeland Security, and drafter of a report reforming the intelligence community after the Iraq War. His legal practice focuses on cyber security, CFIUS, export controls, government procurement, and immigration and regulation of international travel. He is the author of Stealth Quotas – The Dangerous Cure for ‘AI Bias’.
William Jacobson is the founder of Legal Insurrection Foundation, which was created in 2019, and the Legal Insurrection blog, which he launched in 2008. a Clinical Professor of Law and Director of the Securities Law Clinic at Cornell Law School. He is a 1981 graduate of Hamilton College and a 1984 graduate of Harvard Law School. Prior to joining the Cornell law faculty in 2007, Professor Jacobson practiced law in New York City (1985-1993) and Providence, Rhode Island (1994-2006), A more complete listing of Professor Jacobson’s professional background is available at the Cornell Law School website.
Kemberlee Kaye is the Operations and Editorial Director for the Legal Insurrection Foundation. She is a graduate of Texas A&M University and has a background working in immigration law, and as a grassroots organizer, digital media strategist, campaign lackey, and muckraker. Over the years Kemberlee has worked with FreedomWorks, Americans for Prosperity, James O’Keefe’s Project Veritas, and Senate re-election campaigns, among others. Kemberlee is the Senior Contributing Editor of Legal Insurrection website, where she has worked since 2014. She also serves as the Managing Editor for CriticalRace.org, a research project of the Legal Insurrection Foundation.
Our programming is always free but registration is required. You have the option to donate upon registration, but it’s not required to attend.
Upon registering, you will receive a confirmation email and a unique Zoom link that will allow you access to the event Sunday evening. Didn’t receive it? Be sure to check your spam box!
Donations tax deductible
to the full extent allowed by law.
Comments
It’s easy. If it’s different from what SAT scores give you, it’s discriminating.
Interestingly enough, when MicroSoft implemented an AI driven resume evaluation procedure judging their software candidates – it consistently picked Asians and Whites and not Blacks and Hispanics.
Can you give us proof? I’ve heard of this from other Internet sites, but never seen any proof. Thanks.
You are saying the poster is wrong. Please provide proof. Thanks
That’s not how it works.
Let’s suppose that Mr. X says that Trump colluded with Russia. Mr. X gives no proof of this. Trump asks Mr. X for proof that he colluded with Russia. Mr. X then says that Trump has to prove that he didn’t collude with Russia, otherwise Mr. X’s assertion is true.
You’ve got it ass backwards.
Answer
Yes
OK. Please provide it here. OK?