This course covers the learning outcomes and goals of understanding the implications of AI on safety and security. It teaches about AI-enabled cyberattacks, network penetrations, personal data thefts, and the use of AI for defense. The course explores the impact of AI on cybersecurity, the potential positive outcomes, and the challenges in predicting AI problems. The individual skills taught include analyzing AI systems, assessing cybersecurity risks, and integrating AI into legal frameworks. The teaching method involves lectures on AI concepts, discussions on AI safety, and exploring the ethical considerations of AI integration. The intended audience for this course includes cybersecurity professionals, AI enthusiasts, policymakers, and individuals interested in the intersection of AI and security.
Artificial Intelligence Safety and Security - Roman V. Yampolskiy, PhD
Overview
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
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Reviews
4.5 rating, based on 2 Class Central reviews
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Caleb Ojeabunlu AgagaLovely 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. -
Upendra KumarReally nice topic useful for artificial intelligence safety and security. i have learn so many useful safety and security Conner
