On April 6, 2023, the New York City Department of Consumer and Worker Protection (“Department”) issued its Final Rules regarding automated employment decision tools (“AEDT”). As previously reported, New York City’s AEDT law, Local Law 144 of 2021, prohibits employers and employment agencies from using AEDT unless:
As previously discussed in our past article and publication, New York City’s Local Law 144 was set to go into effect on January 1, 2023. However, agency enforcement is now postponed until April 15, 2023.
Responding to increased public and governmental scrutiny of the use of artificial intelligence, machine learning, and other technologies, New
Continuing its efforts towards becoming a 21st century data analytics agency, during the last week of October, 2021, U.S. Equal Employment Opportunity Commission (EEOC) Chair Charlotte A. Burrows announced a new EEOC initiative on artificial intelligence and algorithmic fairness.
This new initiative is aimed at ensuring that artificial intelligence and other emerging tools and
In contemporary litigation, “machine learning” and “predictive analytics” are phrases that are typically used in the context of e-discovery. However, as these technologies grow and evolve, so too will their application and utility in employment decisions and legal proceedings. At Jackson Lewis, we are committed to remaining at the forefront of these technologies and their
Notwithstanding federal, state, and local privacy and cybersecurity laws that may apply, employers may generally use artificial intelligence, data analytics, and other software and technologies to track remote workers.
The COVID-19 pandemic has resulted in, if not required, the vast majority of businesses to adopt remote work and virtual workplaces as a means of operational
Should data analytics be used as a tool to uncover new insights from company data, or should it be used to answer or solve a specific business inquiry or problem? This question is central to any analytics project design. But like most important questions, the answer depends on several factors and is not altogether clear.