“BIPOC (Black, Indigenous, People of Color),” “Minorities,” “Native,” “Tribal,” “Indigenous,” “Immigrant,” “LGBTQ,” “Homosexual,” and “Gay.”
These were the search terms utilized by the federal government to eliminate Diversity, Equity, and Inclusion (DEI) in federal funding, all while using Artificial Intelligence (AI) to target those funds. In a stunning rebuke of such discriminatory practices, the District Court for the Southern District of New York found in American Council of Learned Societies v. McDonald (ACLS), that the record established “beyond any dispute, that the Government used protected characteristics as criteria for identifying grants for termination. DOGE swept in race and ethnicity—including grants concerning Black, Asian, Latino, and Indigenous communities—as well as national origin and immigration status; religion and religious identity (including Jewish, Christian, and Muslim subjects); sex; and sexual orientation, as criteria for grant termination.” The federal government terminated grants involving African, Asian, and South American countries—as well as grants relating to Indigenous Americans and Jewish women—while retaining grants involving Western European subjects.
As of December 11, 2021, the Bill regulating employers’ use of automated employment decision tools has been enacted. Compliance with the Bill’s requirements begins January 1, 2023.
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Joining Illinois and Maryland, on November 10, 2021, the New York City Council approved a measure, Int. 1894-2020A (the “Bill”), to regulate employers’ use of “automated employment decision tools” with the aim of curbing bias in hiring and promotions. The Bill, which is awaiting Mayor DeBlasio’s signature, is to take effect on January 1, 2023. Should the Mayor not sign the Bill within thirty days of the Council’s approval (i.e., by December 10), absent veto, it will become law.
A critical component of a successful employer-employee relationship is the employer’s fair and equitable treatment of employees, often embodied in the employer’s employee engagement, retention, and compensation practices. When it comes to compensation, U.S. employers must comply with federal and applicable state equal pay laws that prohibit discriminatory pay practices, and a myriad of state and local laws banning inquiries into, or the use of, prior salary history in setting pay. Yet, compensation bias and discrimination still exist and continue to be the subject of ...
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Recent Updates
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- Connecticut Overhauls Its Data Privacy Act