This article is a summary of a YouTube video "Bosch AIShield - The Need to Secure AI" by AI Infrastructure Alliance
TLDR Adversarial threats in AI pose a significant risk to society, and there is an urgent need to secure AI systems through the development of guidelines and frameworks by regulatory organizations.
Key insights
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Adversarial threats in AI, such as model extraction, evasion, data poisoning, and model inference, can have detrimental effects on society, highlighting the urgent need to secure AI systems.
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Regulatory organizations like the FDA, EU Parliament, and NIST are recognizing the need to secure AI and are taking steps to develop guidelines and frameworks for AI security.
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Adversarial examples can be generated to evade AI models, causing model evasion attacks and potentially compromising their effectiveness.
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The impact of having an AI security solution in place can significantly reduce the accuracy of stealing algorithms, highlighting the importance of AI security for organizations.