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
On January 21, 2021, the Office of Federal Contract Compliance Programs (OFCCP) announced via its leadership team webpage, that Jenny Yang, former EEOC Chair during the Obama administration, was selected as OFCCP Director.
During Jenny Yang’s time with the EEOC, she was a supporter of the Component 2 section of the EEO-1 reports, which
Pay equity between men and women – and among different races – has long been a concern for employers who want to ensure they are paying people according to job-related reasons, in compliance with anti-discrimination laws, and in a way that aligns with the organization’s practices and philosophies. In the midst of the #MeToo and
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.
(And while we’re at it…what are Big Data, Business Intelligence, Artificial Intelligence, Data Science and IoT?)
To the newly initiated, introducing one’s self to the field data analytics can be intimidating. Navigating through a dizzying array of terms can be a difficult and tedious task. In this post, we bring to you a brief laymen’s