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SB 947: proving who reviewed an AI firing call

Episode 102 Published 3 weeks, 4 days ago
Description

California's No Robo Bosses Act bars employers from disciplining or firing a worker on an automated system's output alone, and from 1 July 2027 a human must independently corroborate that output in writing. The position here is that this reads as an HR matter but lands on data teams, because the statute covers statistical modeling and data analytics, which means attrition models and attendance scores, not only frontier AI.

You come away knowing what SB 947 and SB 951 demand, how Cal-WARN notices must now name AI-driven displacement, what the Chamber of Commerce and Senator McNerney argued, why the SB 7 inventory clause was dropped, and how to audit every system scoring a named employee.

Key takeaways

  • Inventory every system that outputs a score, ranking or flag about a named employee, including attendance, quality and attrition models.
  • For each system, record in writing whether you retain the input features and output for that individual on that date, and who the human reviewer was.
  • Stop scoring pipelines overwriting prior outputs, since a decision may be questioned years later.
  • Treat internal automation ROI decks and headcount-avoided trackers as future legal exhibits under SB 951's Cal-WARN disclosures.
  • Check models for proxy inference of protected characteristics such as postcode or shift pattern, which SB 947 prohibits.

Chapters
0:00 Why SB 947 is a data team problem
0:53 What the No Robo Bosses Act requires
1:52 Proving model lineage for firing decisions
4:17 SB 951 and Cal-WARN AI layoff notices
5:46 Chamber opposition and the vetoed SB 7
7:40 Enforcement odds and your logging checklist

Sources

Full article and transcript: https://www.mba-training.com/blog/sb-947-ai-firing-human-review

MBA Training, mba-training.com

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