Law Commons^™

The Promise And The Peril: Artificial Intelligence And Employment Discrimination, Keith E. Sonderling, Bradford J. Kelley, Lance Casimir

University of Miami Law Review

Artificial intelligence (“AI”) is undeniably transforming the workplace, though many implications remain unknown. Employers increasingly rely on algorithms to determine who gets interviewed, hired, promoted, developed, disciplined, or fired. If appropriately designed and applied, AI promises to help workers find their most rewarding jobs, match companies with their most valuable and productive employees, and advance diversity, inclusion, and accessibility in the work- place. Notwithstanding its positive impacts, however, AI poses new perils for employment discrimination, especially when designed or used improperly.

This Article examines the interaction between AI and federal employment antidiscrimination law. This Article explores the legal landscape including …

Fighting Against Black Money By Offering Amnesty For Economic Development In Bangladesh: A Stigma Can Never Be A Beauty Spot, S M. Solaiman

University of Miami International and Comparative Law Review

Black money is a global concern. However, black money has disproportionately affected Bangladesh. To combat the proliferation of black money in the country, successive governments of Bangladesh have offered amnesties to black money holders (BMHs) in contravention of the national Constitution, legislation, and international conventions. Nonetheless, responses to such incentives have been notably poor, mainly because the wrongdoers do not fear the superficial threat of law enforcement. This article examines the BMHs’ responses to amnesties so far and explains the substantial harm caused by such discriminatory favors, including increases in corruption, the price of real estate, money laundering, deposits by …