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Artificial Intelligence › New York › Data Collection

Mintz - Privacy & Cybersecurity Viewpoints

New York is Protecting its Consumers, One Budget at a Time

Mintz - Privacy & Cybersecurity Viewpoints on

New York Governor Kathy Hochul has spoken: New York consumers need more information, more protections, and more money in their pockets. As part of the Transportation, Economic Development and Environmental conservation...more

McDermott Will & Emery

Insurance Regulators Continue Big Data Scrutiny

McDermott Will & Emery on

We previously reported on regulators’ increased attention to the use of big data systems, including external consumer data and information sources, algorithms and predictive models. Recent announcements in Colorado, Louisiana...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

Sheppard Mullin Richter & Hampton LLP

Silver Lining in New York City? New Requirements For Using A.I. in Employment Decisions

Sheppard Mullin Richter & Hampton LLP on

Artificial Intelligence is here to stay and New York City has enacted legal guidelines for employers who use it. NYC’s Automated Employment Decision Tools (AEDT) law will, effective January 1, 2023, set new standards for...more

Schwabe, Williamson & Wyatt PC

Latest Federal Court Case - January 2022 #4

Schwabe, Williamson & Wyatt PC on

Kyocera Senco Industrial Tools Inc. v. International Trade Commission, Appeal No. 2020-1046, -2050 (Fed. Cir. Jan. 21, 2022) - The Federal Circuit’s only precedential patent decision this week comes on appeal from the...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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