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Documentation and Audit Trails: Not Just for Bureaucrats
Welcome, fearless product managers! Today, we're diving into the world of documentation and audit trails. Before you yawn and reach for your fourth cup of coffee, hear me out. This isn't just about creating paperwork to keep auditors happy—it's about making sure your AI projects don't end up like a bad episode of 'Black Mirror.'
Why Documentation Matters
Imagine you're building a house. Would you skip the blueprint part and just start hammering away? Probably not, unless you're into avant-garde architecture. Documentation in AI is your blueprint. It ensures everyone is on the same page, helps onboard new team members, and—most importantly—keeps things transparent.
Documentation is about meticulously recording what your AI does, how it does it, and why. Think of it as a diary for your AI model, minus the teenage angst.
What comes next
Real-World Example: Google's Model Cards
Google introduced Model Cards to provide clear and concise documentation for their AI models. Model Cards include information about the model's intended use, performance metrics, and limitations. This transparency helps users understand what the model can—and can't—do.
Why this matters for PMs: As a PM, you need to ensure your team documents AI models well so stakeholders know what they're dealing with. This helps manage expectations and builds trust.
Audit Trails: Your AI's Black Box
Finish: Documentation and Audit Trails
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