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The survey results, which used data analyzed by Equilar , included pay data for 344 executives at S&P 500 companies who have served at least two full consecutive fiscal years at their companies, which filed proxy statements between Jan. 1 and April 30.

The experts interviewed for this article offered the following tips to help employers ensure their employees are understanding, utilizing, benefiting from — and appreciating — their benefits. 1.

Access a related Workspan Daily article on this subject: ;The Scoop on ‘Oops’: What HR Can Learn from Communication Gaffes; Step 1: Control the Leak The first few hours after the leak becomes known should focus on verifying the facts and stopping the spread of information.

Following are three major takeaways from our research: 1.

According to a new Pew Research Center analysis of median hourly earnings of full- and part-time workers, women made 82 cents for every $1 for men in 2022 as the pay gap closed only 2 percentage points since 2002.

Reason No. 1: Ratings don’t drive the cycle as much as we’d like.

Part 1 focused on specifics of the law and what it means for EU employers.

Department of Labor’s Bureau of Labor Statistics shows women make, on average, 84 cents for every $1 earned by men, and this pay gap is even wider for women of color, who earn, on average, just 68 cents for every $1 earned by a white man. 

.; ;More than 1 in 5 frequently let AI make final decisions without human input.; ;Two-thirds of managers using AI to manage employees haven’t received any formal AI training.; ;Nearly half of managers were tasked with assessing if AI can replace their reports.; The surveyed managers also stated they use AI to manage their teams in a variety of ways: ;97% use it to create training materials; ;94% to build employee development plans; ;91% to assess performance; ;88% to draft performance improvement plans (PIPs); Among managers who use AI to help manage their teams, a majority (71%) express confidence in AI’s ability to make fair and unbiased decisions about employees.

By analyzing more than 1 billion job postings, Lightcast found in its report that among employers seeking AI-fluent workers, 10 leading skills emerged — and only two of them (AI and machine learning) are actually related to the technology.