AI privacy budgets: Ask for the calculation, not the claim
Data ScienceInformation SystemsCybersecurity
THE AI ANGLE
Tracking cumulative privacy loss and generating release recordsEnterprise AI vendors often supply single privacy budget numbers in contracts without showing how those metrics were calculated from training runs. Buyers need to require unified privacy release records that explicitly link parameters like noise, accountants, and participant cohorts to specific model versions.
THE TEACHING ANGLE
How can teams bridge the gap between abstract contractual privacy metrics and verifiable runtime artifacts in federated machine learning?Read the original at cio.com Generate teaching or study materials
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