Emerging Litigation Podcast
Pixel Litigation Tests Old Privacy Law
New litigation alleging violations of the Video Privacy Protection Act -- which came well before online video streaming -- demonstrates how plaintiff attorneys are creatively applying traditional causes of action to litigate modern privacy issues in the absence of a federal law. Listen now for insights.
Hair Relaxer Injury Litigation
Last year the Aylstock, Witkin, Kreis & Overholtz law firm filed the first class action against L’Oréal and Softsheen-Carson for injuries, primarily to Black women, allegedly caused by hair relaxers and straighteners. Now, many cases are consolidated in multidistrict litigation. Listen for unique insights from a leading plaintiff attorney.
The Light and Dark Sides of Auto-GPT
Businesses must understand how Auto-GPT technologies use data, the potential for biased results, and how to responsibly leverage these powerful technologies. Listen to my interview with Jason I. Epstein, Partner at Nelson Mullins Riley & Scarborough, as we explore this emerging field.
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Emerging Litigation Journal
California’s climate disclosure laws withstand initial US Chamber of Commerce challenge
California’s groundbreaking climate disclosure laws just overcame a major legal challenge—what does this mean for businesses and the future of corporate transparency? Writer Justin Ward will fill you in.
AI Litigation Risks in Employment by Gerald L. Maatman Jr., Alex W. Karasik, and George J. Schaller
The authors, Gerald L. Maatman Jr., Alex W. Karasik, and George J. Schaller analyze two novel AI lawsuits and highlight recent governmental guidance related to AI use in the employment context and the implications of possible discriminatory conduct stemming from the use of AI tools. "AI is here to stay," they write. "Whether companies choose AI technology for any 'employment decision,' companies must keep themselves up to date on any issued guidance and must actively monitor AI tools to prevent any possible discriminatory outputs."
Protecting Policyholders as AI Is Developed for Insurance Claims Handling by Marshall Gilinsky and Madison Marlow
The authors, Marshall Gilinsky and Madison Marlow discuss the integration of artificial intelligence (AI) within the insurance industry and outline the potential consequences of diminished human oversight in AI-driven insurance claims handling, highlighting the need for watchdogs and regulators to demand that AI tools under development afford “explainability” and protect policyholder rights.
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