Slide 5 of 27
Part 1 · What Is It?Slide 5
Slide 5 · The Outcomes
What misinformation actually costs.
These are documented harm categories, not hypotheticals.
Legal liability
Sanctions for fabricated citations, lawsuits over incorrect policy information, regulatory consequences for financial misinformation. Mata v. Avianca (2023), Air Canada (2024).
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Patient harm
Wrong medical guidance on drug interactions, dosing, or diagnosis delivered with clinical-sounding confidence. Regulators are actively investigating medical AI chatbot claims.
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Financial loss
Fabricated market data, hallucinated regulatory requirements, or invented research driving investment and business decisions.
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Security vulnerabilities in code
Insecure code patterns recommended with confidence. Buffer overflows, SQL injection, path traversal — generated without warning. Pearce et al. (2022): 40% of Copilot’s security-sensitive outputs were vulnerable.
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Supply chain compromise
Hallucinated package names installed by developers, pre-loaded with attacker malware. Hallucination as a delivery mechanism (slopsquatting, 2024).
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Reputational damage
Public-facing chatbots giving wrong answers at scale. Every wrong answer is a potential media story, viral post, or tribunal ruling.
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