Artificial intelligence (AI) has become ubiquitous and its impact in the employment arena is notable. Using AI tools in employment can bring efficiency, particularly in the hiring process, but the ...

This guidance serves as a roadmap for employers utilizing AI in their employment practices, emphasizing that eliminating human judgment and discernment from these processes could result in ...

By utilizing the best practices below, business leaders can address critical issues and leverage AI to expand human potential and make manufacturing jobs more attractive and fulfilling for the ...

Artificial intelligence technologies are already impacting hiring practices. While the tools offer efficiencies, experts warn that relying on AI too heavily presents risks.

Litigation claims are on the rise alleging bias in hiring practices as a result of employers' use of artificial intelligence (AI). These cases provide a lens through which we can better understand ...

The DOL's October 2024 guidance on AI tools in employment provides principles and best practices for employers to ensure ethical, transparent, and responsible AI use ...

“The role of HR and employment lawyers is to ensure there's a balance between the need for oversight and the benefits that AI ...

Heading off bias in your AI-embedded employment tools AI permeates more deeply in your HR decision-making tool kits than you might realize. From a risk management standpoint, knowing how to ...

Employment law in 2024 could aptly be summarized as the “Year of Artificial Intelligence Legislation.” Indeed, all but five states introduced new artificial intelligence (AI) legislation in ...

Employers continue to find new ways to automate business practices, including using software programs that provide for artificial intelligence (AI) in a variety of employment practices, including ...

In addition to setting forth prohibited practices, the EU AI Act designates a list of high-risk AI practices. This includes, but is not limited to, use of AI in employment decisions, credit scores ...

During unprecedented change (think AI) using the past as a prediction of the future is little more than looking in the rearview mirror.