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
As employers seek to make increasingly efficient and “better” hiring decisions, avoid biases, and increase workforce diversity, they are turning to, or considering, a growing range of technological tools. Essentially, these tools help employers efficiently identify qualified candidates, narrow the pool of job seekers, and predict who may be the “best” hire. As is often
The Equal Employment Opportunity Commission (EEOC) has established the Office of Enterprise Data and Analytics (OEDA) to “provide [their] customers timely, accurate, and bias-free data and information to prevent and remedy unlawful employment discrimination, and improve organizational performance.” EEOC Director and Chief Data Officer Samuel C. “Chris” Haffer leads the OEDA.
This is an exciting
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
As the Eagles readied to celebrate the franchise’s first Vince Lombardi trophy, an unlikely candidate basked in the glow of being declared the game’s Most Valuable Player. Surely it was Nick Foles who, on his way to upsetting one of the NFL’s elite franchises threw and caught a touchdown in the same big game, was
Recently, we presented a program at a well-known analytics conference and set up an informational booth to meet attendees. Several attendees, most of whom were data scientists, approached our booth with inquisitive looks on their faces and asked, “Why is a law firm at an analytics conference?” Good question.
We explained that Jackson Lewis, as
Hopefully by now you have recognized the benefits of workplace analytics and are becoming more comfortable understanding any associated risk. Does the law provide any guidance? As we discussed in a prior blog entry, some government agencies have issued reports, weighing in on the use of workplace analytics. The Equal Employment Opportunity Commission also held
(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