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The JAIC Rolls Out DoD’s Ethical Principles for Artificial Intelligence

Client Alert | 1 min read | 03.06.20

On February 24, 2020, following Secretary of Defense Mark Esper’s call on the private sector to work with the Department of Defense (DoD) to develop principles for using Artificial Intelligence (AI) in a “lawful and ethical manner,” (as we previously reported on here), the DoD announced its adoption of ethical principles for AI. The DoD Joint Artificial Intelligence Center (JAIC) is tasked with coordinating the implementation of these ethical principles for the Department. The ethical principles apply to both combat and non-combat functions and address five major areas, including (1) responsibility; (2) equitability; (3) traceability; (4) reliability; and (5) governability. More information can be found on the JAIC blog.

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Client Alert | 3 min read | 06.12.26

DOJ Guidance Backs Away From Disparate Impact Liability

On June 9, 2026, the U.S. Department of Justice (DOJ) issued a formal opinion concluding that the Equal Opportunity Employment Commission’s (EEOC) existing interpretations of Title VII of the Civil Rights Act of 1964 (Title VII) disparate-impact liability, including the Uniform Guidelines on Employee Selection Procedures (UGESP), are unconstitutional. According to the opinion, EEOC’s prior interpretations contemplate liability based on disproportionately adverse effects alone, without regard to an employer’s likely intent, rather than treating disparate impact as an evidentiary mechanism to “smoke out” intentional discrimination. DOJ found that this approach functions as a “qualified racial-proportionality mandate” that places “a racial thumb on the scales, often requiring employers to evaluate the racial outcomes of their policies, and to make decisions based on (because of) those racial outcomes.” The opinion fulfills one mandate of Executive Order 14281, which rejected disparate-impact liability insofar as it “creates a near insurmountable presumption that unlawful discrimination exists wherever there are any differences in outcomes among different [demographic groups].”...