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Free AI Course on AI Safety from AI Safety Fundamentals

Free AI Course on AI Safety from AI Safety Fundamentals - Flow Card Image
Online, Worldwide Machine Learning

About this opportunity

AI Safety Fundamentals Course offers comprehensive learning on AI safety, alignment, and governance. Designed by AI safety experts, this course equips participants with the knowledge, skills, and connections to contribute to AI safety efforts. What is AI Safety? AI safety focuses on preventing harms caused by AI systems through technologies and governance interventions. It addresses challenges in AI alignment, governance, and ethics, requiring a collaborative effort from researchers, policymakers, and other stakeholders. Course Offerings: - Alignment Course: For individuals with a technical background interested in AI alignment research. - Governance Course: For policymakers and stakeholders interested in AI governance mechanisms. Course Details: - Duration: 12 weeks - Format: Online, approximately 5 hours per week - Support: Live small group classes with trained facilitators Course Benefits: - Foundational Knowledge: Learn key concepts in AI safety and alignment. - Expert Facilitation: Guided learning by experts in the field. - Community: Join a 2,000+ strong network of AI safety alumni. - Next Steps Support: Guidance for further research, applications, or independent study. Who Should Apply: - Individuals with machine learning experience interested in AI safety research. - Those with a STEM background keen on contributing to technical AI safety. - Managers supporting AI safety researchers. - Students considering a career in AI safety. Course Structure: - Learning Phase (Weeks 1-8): Reading and small-group discussions. - Project Phase (Weeks 9-12): Capstone project. Upcoming Dates: - Governance Course Application Deadline: July 28, 2024 - Alignment Course Start: June 2024, October 2024 - Governance Course Start: April 2024, August 2024 Application Process: - Apply Online: Complete the application form on our website. - Decision Timeline: Most decisions made within 1-2 weeks post-deadline.

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