From diversity benchmarks to screening software, here are our three tips for reducing bias in order to recruit a talented and diverse team for your company.

NLRA Did Not Pre-empt State Law Claims Against Union

NLRA Did Not Pre-empt State Law Claims Against Union

On June 1, the U.S. Supreme Court issued a decision which would have significant ramifications for unions who go on strike. Previously, unions were mostly protected under the National Labor Relations Act (NLRA), which preempted state laws that conflicted with it. However, the Supreme Court has now ruled that if a union intentionally destroys company property during a strike, they may be held liable for damages under state law, rather than being covered by the NLRA.

This decision has sparked significant controversy, with some arguing that it undermines the protections offered by the NLRA and makes it more difficult for unions to effectively engage in collective bargaining. However, others argue that it is a necessary check on union power and ensures that unions are held accountable for their actions.

Regardless of one’s position on this issue, it is clear that unions and employers will need to be very careful going forward, particularly in states with strong laws governing strike activity. Unions may now be exposed to costly damages if they engage in any kind of destructive behavior during a strike, and employers will need to be vigilant in protecting their property.

AI in Recruitment and Staffing

While the NLRA decision is certainly a hot topic in the world of labor and employment law, there are other developments happening in the recruitment and staffing industry that are worth examining as well. Specifically, there has been a significant increase in the use of Artificial Intelligence (AI) tools and experts in technology departments.

AI tools have the potential to revolutionize the recruitment and staffing industry, bringing greater efficiency and effectiveness to the process. For example, AI can be used to analyze job descriptions and identify key skills and qualifications, then search through resumes and applications to identify candidates who are the best fit for the job. This can dramatically reduce the time and resources required to screen and select candidates.

In addition, AI can also be used to help companies improve diversity in their hiring practices. By analyzing demographic data and identifying potential sources of bias, AI tools can help companies create more balanced and inclusive hiring practices, leading to a more diverse and effective workforce.

Overall, the increasing use of AI in recruitment and staffing has the potential to bring significant benefits to companies and candidates alike. While there are certainly concerns about the potential for AI to perpetuate bias and discrimination, when used correctly AI tools can be an incredibly powerful tool for reducing costs, streamlining processes, and improving overall outcomes.

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