The promise of Artificial Intelligence/Machine Learning (AI/ML) comes at a price: artificial intelligence systems, especially those dependent on machine learning (ML), can be vulnerable to intentional attacks that involve evasion, data poisoning, model replication, and exploitation of traditional software flaws to deceive, manipulate, compromise, and render them ineffective.
Yet too many organizations adopting AI/ML systems are unaware of their vulnerabilities. This potential outcome is the basis of this whitepaper.
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|Publisher:||Healthcare and Public Health Sector Council|
|Published:||February 6, 2023|