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Closing the Pay Gap: Equal Pay Day Moves Forward Two Days In 2024

Trusaic

California also strengthened its pay data reporting requirements for 2024. At the federal level, closing the gender pay gap is a clear priority: Pay equity prioritized by the EEOC: The EEOC’s Equity Action Plan aims to tackle systemic discrimination, advance equity, and better serve marginalized communities.

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What are the Best 5 HR Machine Learning Use Cases?

Engagedly

As the machine learning market is projected to skyrocket from 140 billion dollars to approximately 2 trillion dollars by 2030 , the potential impact on HR becomes increasingly evident. This technology enables computers to learn from historical data, constructing mathematical models to predict future outcomes based on past information.

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15 Job Titles for Human Resources: A Comprehensive HR Job List

Analytics in HR

With HR jobs predicted to grow by 10% by 2030 , there are endless possibilities for anyone looking to develop their HR career further. A successful HR Specialist should be detail-oriented, data-driven, and ethical. To succeed, they need to have data analysis skills and proficiency with MS Excel.

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Class Action Pay Transparency Lawsuits On The Rise

Trusaic

Over one in four US workers are covered by pay transparency legislation according to data from the National Women’s Law Center. What’s more, August 2023 data from Indeed shows that half of US job listings now include pay information, and that figure is rising. And there are signs of progress. trillion in unrealized revenue.

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Biden executive order on ‘trustworthy’ AI: What HR needs to know

HRExecutive

Key points in the document include standards for the security and responsible development of AI technologies, respect for individual privacy and data security and avoiding bias and discrimination in the use of AI. ” AI executive order: What should HR leaders consider? The full report can be found here.

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7 AI considerations HR leaders need to think about today

HRExecutive

million workers may need to adapt their current line of work by 2030. As with so many other technologies, AI models need to be auditable; if they can demonstrate that they can accurately predict job success and safeguard users’ data and privacy, then there’s no reason to fear them. The report forecasts that 11.8

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Top 10 Global Talent Management & Employment Screening Blogs from 2021

Cisive

In 2017, previous research by The McKinsey Global Institute reported that as many as 375 million employees globally may need to change occupations or acquire new skills by 2030 to meet companies’ needs and adapt to the rising implementation of advanced technologies such as automation and artificial intelligence (AI).