Increasingly companies are using third-party digital hiring platforms to recruit and select job applicants. These products, explicitly or implicitly, promise to reduce or eliminate the bias of hiring managers in making selection decisions. Instead, the platforms grade applicants based on a variety of purportedly objective factors. For example, a platform may scan thousands of resumes
A recent WSJ article about a private equity firm using AI to source investment opportunities by Laura Cooper presages a larger challenge facing employees and employers: AI tools do “the work of ‘several dozen humans’” “with greater accuracy and at lower cost.” In the competitive and employee-dense financial services sector, AI tools can provide a
Please join Nathaniel M. Glasser, Elizabeth K. McManus, Jeremy M. Brown, and Joshua A. Stein for an engaging and informative discussion of topical labor and employment issues facing all retailers. The presenters will address cutting-edge employment matters and share best practices in a private forum in which all attendees can freely participate,
There is a visceral and palpable dynamic emerging in global workplaces: tension.
Tension between what is potentially knowable—and what is actually known. Tension between the present and the future state of work. Tension between what was, is, and what might become (and when). Tension between the nature, function, and limits of data and technology.
The present-future of work is being shaped daily, dynamically, and profoundly by a host of factors—led by the exponential proliferation of data, new technologies, and artificial intelligence (“AI”)—whose impact cannot be understated. Modern employers have access to an unprecedented amount of data impacting their workforce, from data concerning the trends and patterns in employee behaviors and data concerning the people analytics used in hiring, compensation, and employee benefits, to data that analyzes the composition of the employee workforce itself. To be sure, AI will continue to disrupt how virtually every employer views its human capital model on an enterprise basis. On a micro level, employers are already analyzing which functions or groups of roles might be automated, augmented, or better aligned to meet their future business models.
And, yet, there is an equal, counterbalancing force at play—the increased demand for accountability, transparency, civility, and equity. We have already seen this force playing out in real time, most notably in the #MeToo, pay equity, and data privacy and security movements. We expect that these movements and trends will continue to gain traction and momentum in litigation, regulation, and international conversation into 2019 and beyond.
We have invited Epstein Becker Green attorneys from our Technology, Media & Telecommunications (“TMT”) service team to reflect and opine on the most significant developments of the year. In each, we endeavor to provide practical insights to enable employers to think strategically through these emergent tensions and business realities—to continue to deliver value to their organizations and safeguard their goodwill and reputation.
Continue Reading Take 5 Newsletter – The Present-Future of Work: 2018 Trends and 2019 Predictions
This extended interview from Employment Law This Week will be of interest to many of our readers. Attorney and co-editor of this blog, Michelle Capezza explains how recent legal developments have prepared employers for their future workforce, which will include artificial intelligence technologies working alongside human employees. She also looks at the strategies employers should