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Artificial intelligence is improving efficiency, workplace safety, product development, machine maintenance and supply chain logistics at manufacturing facilities everywhere, according to a new, first-of-its-kind report from the 17�Թ�����.

What’s going on: “,” released today, details use cases for AI in the sector, discussing how manufacturers nationwide are using it to improve lives everywhere.

• The report features deep dives on AI-powered technologies at manufacturers, including Johnson & Johnson, Schneider Electric and Hitachi.

Trailblazers need good policy, too: “From developing more effective clinical trials and improving workplace safety to strengthening supply chain resiliency and supporting workforce training for employees, AI is unlocking new opportunities to strengthen our modern manufacturing workforce and improve the lives of all Americans,” said 17�Թ����� President and CEO Jay Timmons. “Congress and the Biden administration can support manufacturers’ adoption of AI by enacting strong data privacy protections, investing in workforce training and providing regulatory certainty.”

• Legislators should “lean on” manufacturers’ deep experience when drafting AI-related legislation, added Johnson & Johnson Executive Vice President and Chief Technical Operations & Risk Officer and 17�Թ����� Board Chair Kathy Wengel.
• “All possible futures for modern manufacturing in the U.S. involve AI,” she said. “Policymakers must develop sensible, carefully thought-out frameworks for various AI applications. … We need a policy environment that supports innovation and growth in manufacturing AI, because it will bolster U.S. competitiveness and leadership in this critical emerging field.”

The recommendations: The report contains immediately implementable policy recommendations for lawmakers:

• Invest in research and development and career technical education institutions to train the modern manufacturing workforce.
• Pass federal privacy legislation to advance individuals’ privacy protections and give legal clarity that will support continued innovation by manufacturers.
• Use a risk-based approach to new AI regulations that tailors any future laws to specific use cases and minimizes the burden of compliance.
• Ensure that AI regulation is aligned globally.