When an AI system makes a “bad decision,” most organizations can’t really explain why. They aren’t entirely sure which data trained it, where the error was, which version it was running or which third-party components were involved. This is an ethica...
When an AI system makes a “bad decision,” most organizations can’t really explain why. They aren’t entirely sure which data trained it, where the error was, which version it was running or which third-party components were involved. This is an ethical and regulatory blind spot that creates risk for tech leaders in institutions of all sizes, and it’s driving interest in a newer framework called the AI bill of materials. If you’ve ever seen a software bill of materials, or SBOM, then you already understand the concept. But many organizations have not yet thought about applying that framework…
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EdTech Magazine — Higher Ed (EN)