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Utilizing Artificial Intelligence in Employment-Related Matters: Recent Developments and Best Practices Connie Elder Carrigan Smith Debnam Narron Drake Saintsing & Myers, LLP ...
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 ...
Many companies are turning to generative tools like ChatGPT to streamline hiring. But new research shows these systems may ...
AI permeates more deeply in your HR decision-making tool kits than you might realize. From a risk management standpoint, knowing how to correct for unintended bias can help.
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 ...
For example, when using AI to screen resumes, employers will often input the resumes of existing employees as source data. Consider a scenario where the majority of employees in a certain position are ...
The chief executive of the world’s leading chipmaker warned that while artificial intelligence will significantly boost workplace productivity, it could lead to job loss if industries lack innovation.
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 ...
2024 saw a surge in AI-related employment laws. ... Employers should follow these best practices to respond to the explosion of AI legislation in 2024, including the CAIA, ...
Although no federal law specifically addresses the use of AI in the employment context (yet), discrimination is already prohibited by Title VII of the Civil Rights Act of 1964, the Age ...
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 ...
Despite its potential, AI poses serious risks in developing countries, especially in the areas of data exploitation, regulatory gaps and employment displacement.
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