1. Map collaboration barriers: Identify your team's top three inclusion challenges that AI might address 2. Pilot one AI tool: Choose a single AI collaboration tool and test it with a diverse subset of your team for one week 3. Track inclusion metrics: Monitor who participates more (or less) with the new tool and why 4. Conduct a bias audit: Check if your AI tools work equally well for all accents, languages, and communication styles 5. Create fallback protocols: Establish human verification processes for critical AI-mediated communications 6. Ensure equitable access: Verify all team members have the hardware, software, and internet quality needed for AI tools
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