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The AI Security Paradox Dr. Computer Engineering and Computer Science University of Louisville - cecs.louisville.edu/ry.

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Presentation on theme: "The AI Security Paradox Dr. Computer Engineering and Computer Science University of Louisville - cecs.louisville.edu/ry."— Presentation transcript:

1 The AI Security Paradox Dr. Roman.Yampolskiy@louisville.edu Computer Engineering and Computer Science University of Louisville - cecs.louisville.edu/ry Director – CyberSecurity Lab @romanyam /roman.yampolskiy

2 What is AI Safety? 2 @romanyam roman.yampolskiy@louisville.edu Cybersecurity AI += AI Safety & Security Science and engineering aimed at creating safe and secure machines.

3 Future of Cybersecurity 3 @romanyam roman.yampolskiy@louisville.edu

4 AI for Cybersecurity (Example-IBM Watson) 4 @romanyam roman.yampolskiy@louisville.edu

5 AI IS in Charge 5 Stock Market: 75+% of all trade orders generated by Automated Trading Systems Aviation: Uninterruptible Autopilot System Military: Nuclear Weapons Energy: Nuclear Power Plants Utilities: Water Plants/Electrical Grid Communications: Satellites @romanyam roman.yampolskiy@louisville.edu

6 6 What is Next? SuperIntelligence is Coming … @romanyam roman.yampolskiy@louisville.edu

7 SuperSmart 7 @romanyam roman.yampolskiy@louisville.edu

8 SuperFast 8 Abrupt Rise of New Machine Ecology Beyond Human Response Time. By Johnson et al. Nature. Scientific Reports 3, #2627 (2013) Ultrafast Extreme Events (UEEs) @romanyam roman.yampolskiy@louisville.edu

9 SuperComplex 9 "That was a little-known part of the software that no airline operators or pilots knew about." @romanyam roman.yampolskiy@louisville.edu

10 SuperViruses 10 Relying on Kindness of Machines? The Security Threat of Artificial Agents. By Randy Eshelman and Douglas Derrick. JFQ 77, 2nd Quarter 2015. @romanyam roman.yampolskiy@louisville.edu

11 SuperSoldiers 11 @romanyam roman.yampolskiy@louisville.edu

12 SuperConcerns 12 "I am in the camp that is concerned about super intelligence" “The development of full artificial intelligence could spell the end of the human race.” “I think we should be very careful about artificial intelligence” “…eventually they'll think faster than us and they'll get rid of the slow humans…” “… there’s some prudence in thinking about benchmarks that would indicate some general intelligence developing on the horizon.” @romanyam roman.yampolskiy@louisville.edu

13 Taxonomy of Pathways to Dangerous AI Deliberate actions of not-so-ethical people (on purpose – a, b) [Security] – Hackers, criminals, military, corporations, governments, cults, psychopaths, etc. Side effects of poor design (engineering mistakes – c, d) [Safety] – Bugs, misaligned values, bad data, wrong goals, etc. Miscellaneous cases, impact of the surroundings of the system (environment – e, f) [Safety]/[Security] – Soft errors, SETI Runaway self-improvement process (Independently – g, h) [Safety] – Wireheading, Emergent Phenomena, “Treacherous Turn” Purposeful design of dangerous AI is just as likely to include all other types of safety problems and will have the direst consequences, that is the most dangerous type of AI, and the one most difficult to defend against. 13 Roman V. Yampolskiy. Taxonomy of Pathways to Dangerous Artificial Intelligence. 30th AAAI Conference on Artificial Intelligence (AAAI-2016). 2nd International Workshop on AI, Ethics and Society (AIEthicsSociety2016). Phoenix, Arizona, USA. February 12-13th, 2016. @romanyam roman.yampolskiy@louisville.edu

14 Who Could be an Attacker? Militaries developing cyber-weapons and robot soldiers to achieve dominance. Governments attempting to use AI to establish hegemony, control people, or take down other governments. Corporations trying to achieve monopoly, destroying the competition through illegal means. Hackers attempting to steal information, resources or destroy cyberinfrastructure targets. Doomsday cults attempting to bring the end of the world by any means. Psychopaths trying to add their name to history books in any way possible. Criminals attempting to develop proxy systems to avoid risk and responsibility. 14 With AI as a Service anyone is a potential bad actor. @romanyam roman.yampolskiy@louisville.edu

15 What Might They Do? Terrorist acts Infrastructure sabotage Hacking systems/robots Social Engineering Attacks Privacy violating datamining Resource depletion (crash stock market) 15 @romanyam roman.yampolskiy@louisville.edu

16 16 AI Confinement Problem @romanyam roman.yampolskiy@louisville.edu

17 AI Regulation 17 @romanyam roman.yampolskiy@louisville.edu

18 Security VS Privacy 18 @romanyam roman.yampolskiy@louisville.edu

19 19 @romanyam roman.yampolskiy@louisville.edu AI failures and attacks will grow in frequency and severity proportionate to AI’s capability. Governments need to work to ensure protection of citizens. Conclusions

20 20 All images used in this presentation are copyrighted to their respective owners and are used for educational purposes only. Roman.Yampolskiy @louisville.edu Director, CyberSecurity Lab Computer Engineering and Computer Science University of Louisville - cecs.louisville.edu/ry @romanyam /Roman.Yampolskiy The End!


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