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.

Location : Online, Worldwide

Categories : Machine Learning

Press Ask Flow below to get a link to the resource

---

Talk to Mentors

---

Related

• 

  Early Career Research Group Leader for Machine Learning in Science

  The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen is seeking aspiring scientists f..

  Machine Learning . Personal Growth . Others

• 

  a16z Build: Talent Engineer Fellowship

  The Talent Engineer Fellowship by a16z Build is a specialized program designed for individuals who want to sit at the intersection of engi..

  Computer Science . Machine Learning . Entrepreneurship . Personal Growth

• 

  IMPRS-TRUST PhD Program in Computer Science

  The International Max Planck Research School for Trustworthy Computing (IMPRS-TRUST) is a world-class doctoral program focused on the fund..

  Computer Science . Machine Learning

• 

  Digital Product School by UnternehmerTUM

  The Digital Product School (DPS) is Europe’s most successful training program for cross-functional teams focused on building digital produ..

  Computer Science . Machine Learning . Design . Personal Growth

• 

  Evidence-based digital policies to achieve universal and meaningful connectivity

  This advanced-level face-to-face training program, organized by the International Telecommunication Union (ITU) and funded by the European..

  Machine Learning . Others

• 

  AI for Asia Fellowship 2026

  The AI for Asia Fellowship, organized by Siklab, is a pioneering 12-week intensive program aimed at empowering the next generation of inno..

  Machine Learning . Entrepreneurship . Personal Growth