- The tool has been subjected to a
Employer Alert: New York City Automated Employment Decision Tools Law Postponed to April 2023
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
EEOC Announces New Initiative On Artificial Intelligence & Algorithmic Fairness
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
Beyond E-Discovery: The Ethical & Legal Use Of Machine Learning Technologies
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
Can Employers Use Artificial Intelligence And Data Analytics To Track Remote Workers?
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
Charting Your Course on the Data Analytics Highway
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.