What Is Ambient AI and Why Does It Matter to Lawyers & Legal Professionals?
The Authenticity Advantage: How Runbin Dong’s Scale Social AI Helps Small Businesses Shine
Key Discovery Points: A Judicial Approach to Handling AI-Generated Evidence
Richard Meneghello of Fisher Phillips on How Smart Content Can Set Your Firm Apart - Passle's CMO Series EP175
Feeling Disillusioned with AI? You’re Not Alone
Great Women in Compliance: GWIC X EC Q2 2025 - Exploring Compliance Innovations
Daily Compliance News: June 25, 2025, The PCAOB Elimination Hits Roadblock Edition
Podcast - FTC to Focus on Deceptive AI Claims: Compliance Management Strategies
Upping Your Game: Crowd - Sourcing Risk Management Intelligence with AI
Daily Compliance News: June 24, 2025, The Questions, Questions, and More Questions Edition
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 240: Independent Practice In Dermatology with Dr. Darragh and Dr. Shuler of Carolina Dermatology
#Risk New York Speaker Series – Bridging the Gap: Effective Risk Communication in Compliance with Rob Clark, Jr.
#Risk New York Speaker Series – Upping Your Game with Tom Fox
SBR-Author’s Podcast: Upping Your (Compliance) Game
Innovation in Compliance: Real-Time Fraud Prevention Strategies for Financial Loss Prevention with Vince Walden
Risk New York Speaker Series: AI Investments and Political Uncertainty with Chris Mason
Episode 373 -- Christian Focacci on Current Developments in AI and Risk Management
#Risk New York Speaker Series: Exploring AI Risks in Compliance with Gwen Hassan
Regulatory Rollback: Inside the CFPB’s FCRA Guidance Withdrawal — The Consumer Finance Podcast
Rethinking Records Retention
This update provides an overview of the legal and regulatory considerations surrounding the use of artificial intelligence (AI) products and New York law in insurance products; with a particular focus on underwriting,...more
Artificial intelligence (AI) presents both a large opportunity for employers — and potentially a source of reputational risk — depending on how its adoption is handled. As AI transforms the workplace, unions are responding...more
In the first part of 2025, New York joined other states, such as Colorado, Connecticut, New Jersey, and Texas, seeking to regulate artificial intelligence (AI) at the state level. Specifically, on 8 January 2025, bills...more
AI is reshaping the workplace, and two of the nation’s most influential states – California and New York – are making sure businesses take accountability. California’s Attorney General issued sweeping advisories on Monday...more
“Algorithmic discrimination” refers to the use of an artificial intelligence (AI) system that results in differential treatment or impact disfavoring an individual based on protected characteristics (e.g., age, color,...more
At least two proposed bills pending before the New York State Legislature would force employers to conduct bias audits and provide high levels of transparency if they use AI-fueled automated employment decision tools for...more
Employers who rely on artificial intelligence driven tools for their recruiting and hiring processes may face new regulations in New York and New Jersey. In the past few weeks, three bills have been proposed (two in New...more
New York City recently promulgated a set of Frequently Asked Questions (“FAQs”) to clarify the New York City Local Law 144 (the “NYC AI Law”) regulating the use of automated employment decision tools (“AEDT”), as well as the...more
A bill introduced in the New York State Senate on August 4, 2023, would impose statewide requirements regulating tools that incorporate artificial intelligence to assist in employee monitoring and the employment...more
New York City has begun to enforce a law initially passed in 2021 that requires employers to take certain steps before implementing an automated employment decision tool (AEDT). The law reflects a growing focus on the use of...more
New York’s Local Law 144 of 2021 will finally go into effect on July 5, 2023, after several delays. As we previously discussed, the law requires employers to provide candidates for employment and promotion with notice about...more
On July 5, 2023, New York City is poised to begin enforcement of a law initially passed in 2021 that requires employers to take certain steps before implementing an automated employment decision tool (AEDT). The law reflects...more
On April 6, 2023, New York City’s Department of Consumer and Worker Protection (“DCWP”) issued final rules governing Local Law 144 of 2021. That law prohibits employers in New York City from using automated employment...more
Last year, the New York City Council passed Local Law Int. No. 1894-A, which amended the City’s administrative code to afford new protections to employees during the hiring and promotion processes. The law protects those...more
On December 11, 2021, New York City enacted Local Law Int. 1894-A. The law, which takes effect on January 1, 2023, limits an employer’s ability to use “automated employment decision tools” in hiring and promotion decisions...more
In less than one year, any employer in New York City that uses automated tools to screen job applicants must demonstrate that an annual bias audit has been completed to continue using such tools. The law, which takes...more
New York City will be the latest jurisdiction to regulate the use of artificial intelligence in the workplace. The City has just passed a law requiring employers to perform bias audits not more than one year before using...more
New York City has passed the first law in the United States that will require employers to conduct audits of automated decision-making tools used to evaluate job candidates or employees. The law may have huge implications for...more
Over the past decade many employers have adopted Artificial Intelligence driven tools to automate various aspects of the workplace, including the recruiting and hiring process. These tools have come under scrutiny by...more
In a groundbreaking move, likely to have significant impact on employee hiring and HR tech, the New York City Council has passed a measure (“the NYC measure”) that bans the use of automated decision-making tools to (1) screen...more
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