The White House issued eight principles for protecting workers from the risks of artificial intelligence. The principles are not intended to be an exhaustive list but instead a guiding framework for businesses. AI developers and employers should review and customize the best practices based on their own context and with input from their workers, the White House said.
White House Issues AI Principles
SHRM | May 2024
FACT SHEET: Biden-Harris Administration Unveils Critical Steps to Protect Workers from Risks of Artificial Intelligence
GUIDANCE: Artificial Intelligence and Worker Well-being: Principles and Best Practices for Developers and Employers
DOL | May 2024
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The Biden administration and the DOL’s AI Principles make clear that the federal government is taking a comprehensive approach to AI in the workplace, from hiring through leaves and accommodation, day-to-day performance tools, wage and hour policies, and worker organization under the NLRA.
DOL Issues Artificial Intelligence Principles
Littler | May 2024
What should you do now? First, audit your current use of AI tools to ensure they don’t run afoul of the principles announced in the NEW documents. Also, start learning how AI may apply to your workplace, and how you can best take advantage of the new technology. Finally, if you haven’t done so already, it’s time to put together some policies and procedures that are tailored to your practices.
New Guidance on Employers’ Use of Artificial Intelligence
Shaw | May 2024
The principles apply to both the development and deployment of AI systems. These principles include: awareness; ethical development, governance and oversight, transparency, compliance with existing workplace laws, enabling, supportive during transition, privacy and security of data.
White House Publishes Steps to Protect Workers from the Risks of AI
Jackson Lewis | May 2024
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An organization run by AI is not a futuristic concept. Such technology is already a part of many workplaces and will continue to shape the labor market and HR. Here's how employers and employees can successfully manage generative AI and other AI-powered systems.
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