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Unpacking Cybersecurity Ingredients: SBOMs in the Food Industry with Marc Frankel

2545.017 - 2562.566 Marc Frankel

What happens if one of those data sets is found to be problematic, either accidentally because it biases against a certain race or a certain religion or a certain hair color or whatever, or intentionally because the China's or the Russia's or the North Korea's of the world poisoned a particular data set or because it contains illegal information.

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