NIST Warns of Security and Privacy Risks from Rapid AI System Deployment
NIST Warns of Security and Privacy Risks from Rapid AI System Deployment
NIST raises an alarm on AI's privacy & security risks. Discover how AI systems like ChatGPT face new threats.
Key Points:
- Security and privacy concerns: Increased use of AI systems raises issues like data manipulation, model vulnerabilities, and information leaks.
- Threats at various stages: Training data, software, and deployment are all vulnerable to attacks like poisoning, data breaches, and prompt injection.
- Attacks with broad impact: Availability, integrity, and privacy can all be compromised by evasion, poisoning, privacy, and abuse attacks.
- Attacker knowledge varies: Threats can be carried out by actors with full, partial, or minimal knowledge of the AI system.
- Mitigation challenges: Robust defenses are currently lacking, and the tech community needs to prioritize their development.
- Global concern: NIST's warning echoes recent international guidelines emphasizing secure AI development.
Overall:
NIST identifies serious security and privacy risks associated with the rapid deployment of AI systems, urging the tech industry to develop better defenses and implement secure development practices.
Comment:
From the look of things, it looks like it's going to get worse before it gets better.
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The issue presented in the thumbnail is just as applicable to human drivers. Bad roadmarkings confuse unfamiliar drivers regularly.
That's a fair point, but if AI is not better or at least equivalent to a competent human driver.
why are we even allowing it?
"Bad drivers" have rights ... AI doesn't and it creates potential risks to others
We aren't allowing it.
No doubt that AI which is used for Level 5 autonomy should be trained to detect these situations and make the correct decision. Otherwise they wouldn't be Level 5 systems. This is one of the many reasons why self-driving cars is not a solved issue yet. The systems we use today are either used strictly as a driving aid under close supervision by a human driver or used in small areas that the AI has been already evaluated to perform well in.