A Wisconsin federal judge ordered Northwestern Mutual to produce diversity, equity and inclusion data to the EEOC in its investigation of an alleged failure to promote a White employee. The court rejected the company’s contention that the agency’s information requests were overbroad and too indefini
Gallup research finds that AI can boost employee engagement, but only when introduced under the right conditions. Manager support is the critical factor in generating enthusiastic adoption of AI tools in the workplace.
An OpenAI report finds HR professionals frequently turn to ChatGPT to complete tasks outside their traditional remit, illustrating how AI enables employees to perform work beyond their usual roles. This shift can reshape the division of labor within organizations, blurring role boundaries and changi
Pulling back from DEI efforts increases legal exposure and risks sidelining qualified women, harming talent pipelines and organizational performance. Gender equity researcher Amy Diehl outlines eight practical pillars HR leaders should follow to maintain legally defensible, effective, and inclusive
Generative AI makes creating explicit and illegal deepfakes alarmingly easy, and the article warns that easing access to AI-generated adult content—highlighted by proposals like an “adult mode” in ChatGPT—could spur more severe sexual crimes. Drawing on a natural experiment using Japan’s detailed po
A judge ruled that Apex Fintech Solutions unlawfully violated the National Labor Relations Act when it fired an employee for a LinkedIn post criticizing the company's handling of diversity, equity and inclusion—saying it “allowed outright hate to proliferate.” The decision treats the post as protect
AI investments often underdeliver unless front-line managers can translate tools into day-to-day workflows. Targeted manager training in AI literacy, change leadership, and team adoption is therefore essential to unlocking those expected gains.
Indeed research finds many managers don’t feel prepared to lead an AI-fluent workforce. The study attributes this gap to employers failing to provide adequate training that helps employees learn how to use artificial intelligence effectively.