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New York Artificial Intelligence Today's Popular Updates

Eversheds Sutherland (US) LLP

AI at the gate: NYDFS issues guidance on addressing new AI-driven cybersecurity risks under existing cybersecurity requirements

On October 16, 2024, the New York State Department of Financial Services (DFS) issued an industry letter providing guidance on how DFS-regulated entities (covered entities) should be evaluating and responding to artificial...more

Manatt, Phelps & Phillips, LLP

New York Announces Two Major Artificial Intelligence Initiatives

On January 8, 2024, New York Governor Kathy Hochul and the New York Office of Information Technology Services (NY ITS) announced two major initiatives on artificial intelligence (AI) that will impact private and public...more

Hogan Lovells

New York City delays enforcement of law on artificial intelligence in employment decisions

Hogan Lovells on

New York City’s new law concerning artificial intelligence in employment decisions will still go into effect on January 1, 2023, but enforcement has been delayed until April 15, 2023. NYC employers subject to the law should...more

Wilson Sonsini Goodrich & Rosati

The Use of Artificial Intelligence Tools in Employment Decisions Can Lead to Violations of the ADA and New York City Law

Employers’ use of artificial intelligence (AI) tools in making hiring and other employment decisions is drawing increased scrutiny. The Equal Employment Opportunity Commission (EEOC) published guidance on how employers’ use...more

Fox Rothschild LLP

The EU Is Preparing for Artificial Intelligence. What About the US?

Fox Rothschild LLP on

The European Union is gearing up to regulate AI, but what is the U.S. doing? •There are new Federal algorithmic transparency bills being filed: •The Algorithmic Accountability Act of 2022, introduced by Senator Ron Wyden...more

Lowenstein Sandler LLP

New York City Takes Aim at Artificial Intelligence in Employment

Lowenstein Sandler LLP on

The rise of artificial intelligence and other computer-based, data-driven decisions may seem attractive to employers looking to parse a deep pool of qualified candidates. But concerns that biases may affect these automated...more

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