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California county wants businesses replacing workers with robots to offer equal-pay jobs, severance, or retraining fees

The San Mateo County Board of Supervisors this week voted 4-0 to establish what is being called a first-of-its-kind permitting system for businesses using autonomous, AI-controlled robots. Read Entire Article

California county wants businesses replacing workers with robots to offer equal-pay jobs, severance, or retraining fees

San Mateo County in the Bay Area has adopted a groundbreaking system to regulate businesses utilizing autonomous robots. The primary aim is to safeguard workers facing potential job losses due to automation. Supervisor Ray Mueller spearheaded the ordinance, passed unanimously by the Board of Supervisors.

Under this new system, companies must secure a permit for robots with rechargeable lithium-ion batteries, cameras, sensors, and autonomous operation in spaces shared with workers or the public. Additionally, businesses must submit an Economic Impact Assessment and a Workforce Mitigation Plan.

The Workforce Mitigation Plan mandates businesses to offer one of three alternatives for workers whose jobs are replaced by robots: redeploy them with equal pay, give a 60-day notice and severance, or contribute to a County Automation Impact Fee. This fee finances the Retraining Fund, which assists displaced workers in acquiring new skills and finding new employment.

The adoption of this ordinance is still pending, with the 30-day waiting period before it becomes official. While AI is currently seen as the biggest threat to jobs, humanoid robots are also making their way into various industries. Companies like Amazon, BMW, and Hyundai have already integrated robots into their operations.

Even Japan Airlines is testing humanoid robots at Tokyo's Haneda Airport to assist with baggage handling. This ordinance in San Mateo County is a first of its kind, aiming to protect human jobs in the face of advancing automation technologies.

Written by urgent.news from TechSpot's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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