Overview
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Explore the critical intersection of artificial intelligence and cybersecurity in this 40-minute talk by Dr. Roman V. Yampolskiy. Delve into the near-term implications of AI-enabled cyberattacks, including network penetrations, data thefts, and the spread of intelligent computer viruses. Examine the paradoxical role of AI as both a threat and a potential defender in cybersecurity. Investigate topics such as current AI systems, the singularity paradox, deepfakes, and the AI arms race. Learn about proposed safety measures like the Three Laws of Robotics, software verification, and review boards. Gain insights into the future of AI and its impact on society, while considering the challenges of predicting and mitigating AI-related problems.
Syllabus
Intro
What is AI
We already have AI
What happens next
Current AI systems
Complexity
Speed
Cybersecurity
Funding
Positive Impact
The good news
The singularity paradox
Predicting AI problems
Everyone can use AI
What can we do with AI
Deepfakes
AI Safety
Dr Kaczynski
Legal Integration
Competition
Three Laws of Robotics
Software Verification
Review Boards
Exponential Chart
Google Scholar
AI arms race
Taught by
Open Data Science
Reviews
4.5 rating, based on 2 Class Central reviews
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Lovely and very intellectual. I have gained enough knowledge and I hope I will be able to put it in practice practically. I am so happy to be able to complete this PhD Online course.
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Really nice topic useful for artificial intelligence safety and security. i have learn so many useful safety and security Conner