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Intermediate

Intermediate⏱️ 6 months

Build real safety tools and contribute to the field

Progress0 / 56 topics
0% complete

Modules

Module 1

Advanced Alignment Concepts

→

Theoretical foundations of AI alignment challenges

📚 5 topics⏱️ 8 weeks
Module 2

Advanced Red Teaming & Adversarial ML

→

Master sophisticated attack techniques and defense strategies

📚 10 topics⏱️ 4 weeks
project
Module 3

AI Agents & Tool Use

→

Building and evaluating safe autonomous agents

📚 6 topics⏱️
Module 4

AI Governance Fundamentals

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Understand policy, regulation, and institutional approaches to AI safety

📚 3 topics⏱️ 4 weeks
peer-review
Module 5

Applied Interpretability

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Build tools to understand and explain AI behavior

📚 5 topics⏱️ 5 weeks
project
Module 6

Paradigms & Mental Models

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Understanding how metaphors and mental models shape AI safety research, policy, and development

📚 7 topics⏱️ 3 weeks
project
Module 7

Research Methods

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Essential research skills for AI safety work

📚 7 topics⏱️
Module 8

Production Safety Engineering

→

Build and deploy safety systems for real-world AI applications

📚 9 topics⏱️ 6 weeks
project
Module 9

Testing & Evaluation

→

Comprehensive testing methods for AI safety

📚 4 topics⏱️
← Back to JourneyStart First Module →
⚡Pre-rendered at build time

Created By

Veylan Solmira

AI Safety Researcher & Educator

✉️ veylan@example.com💼 LinkedIn🐙 GitHub

Quick Links

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About This Project

The AI Safety Research Compiler is a comprehensive curriculum designed to systematically develop AI safety research capabilities. It features dual learning modes, hands-on experiments, and philosophical explorations.

This project represents original work in AI safety education, including case studies, interactive notebooks, and philosophical essays.

Learn more about the project →

© 2025 Veylan Solmira. All rights reserved.

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