10 Practical Steps Employers Should Take to Mitigate AI Bias and Manage Workplace Risk | Fisher Phillips
https://www.jdsupra.com/legalnews/10-practical-steps-employers-should-4612717/
Publish Date: 2026-04-01 18:10:00
Source Domain: www.jdsupra.com
- Conduct rigorous pre-deployment testing and request documentation and audits from AI tool vendors to ensure relevance and minimize bias.
- Continuously monitor hiring and promotion outcomes post-deployment to identify and correct any emerging bias or disparate impacts.
- Establish governance policies to document all testing, audits, and remediation steps, ensuring regulatory compliance and defendable decision-making.
- Ensure transparency in model features, avoiding irrelevant or discriminatory disqualifying factors.
- Avoid clutter in job descriptions to prevent AI tools from amplifying bias through irrelevant data.
- Thoroughly vet vendors, ensuring compliance with data quality, explainability, and privacy requirements.
- Stay compliant with emerging regulations governing automated decision tools to avoid legal scrutiny.
- Maintain human oversight to review and potentially override AI-generated recommendations to uphold fair practices.
- Standardize AI tool experiences, like video interviews, and accommodate disabilities to comply with legal standards and minimize risks.
- Disseminate transparent information about AI use to candidates and provide non-AI alternatives when possible to foster trust and comply with legal mandates.
