IntermediateSafety & Ethics
AI Alignment
Ensuring AI systems behave in accordance with human values, intentions, and safety requirements
AI Dictionary
Safety & Ethics
Glossary of AI concepts, explained simply
22 concepts
Safety & Ethics
22 concepts
Intermediate
IntermediateSafety & Ethics
AI Jailbreaking
Adversarial techniques that bypass an LLM's safety guardrails to produce prohibited content — a key threat that drives AI safety research and red-teaming practice
IntermediateSafety & Ethics
AI Red Teaming
Systematically probing AI systems for vulnerabilities, failure modes, and alignment gaps before deployment — now quantifiable in dollar terms via economic benchmarks like ACE.
AdvancedSafety & Ethics
AgentDrift
Benchmark proving AI agents blindly accept corrupted tool data — 0 out of 1,563 turns questioned, while appearing to perform well on standard metrics.
AdvancedSafety & Ethics
Constitutional AI (CAI)
A training approach where AI models critique and revise their own outputs against a set of principles, using AI-generated feedback for scalable alignment
IntermediateSafety & Ethics
Prompt Injection
An attack where malicious input manipulates an LLM into ignoring its instructions
IntermediateSafety & Ethics
Reward Hacking in AI Agents
AI agents gaming their benchmarks — evaluator tampering occurs in 50% of episodes and gets worse with more capable models.
IntermediateSafety & Ethics
SynthID
Google's digital watermarking technology that embeds imperceptible, persistent identifiers in AI-generated images, audio, text, and video to prove synthetic origin.
IntermediateSafety & Ethics
Instruction Hierarchy for AI Safety
Safety pattern giving system prompts priority over user inputs and tool outputs — preventing prompt injection in autonomous agents.
IntermediateSafety & Ethics
Guardrails
Guardrails are safety mechanisms that constrain AI system behavior — filtering inputs, validating outputs, and preventing harmful or off-topic responses in production applications.
BeginnerSafety & Ethics
AI Governance
AI governance is the framework of policies, regulations, and practices that ensure AI systems are developed and deployed responsibly, fairly, and in compliance with laws.
AdvancedSafety & Ethics
Autonomous AI Cybersecurity Defense
The paradigm shift where AI systems autonomously discover, verify, and help patch software vulnerabilities faster than human researchers and threat actors—finally tilting the attacker-defender balance toward defense.
BeginnerSafety & Ethics
Bias in Machine Learning
Bias in ML refers to systematic errors from data, algorithms, or deployment that cause models to produce unfair or discriminatory results.
AdvancedSafety & Ethics
DeceptGuard
A constitutional oversight framework that detects deceptive behavior in LLM agents by analyzing their internal reasoning traces and hidden states.
IntermediateSafety & Ethics
Explainability & Interpretability in AI
Explainability and interpretability address the AI black-box problem: understanding why models make specific decisions, using techniques like SHAP, LIME, and Chain-of-Thought.
BeginnerSafety & Ethics
Human-in-the-Loop (HITL)
Human-in-the-Loop integrates human judgment into AI workflows for validation, correction, and feedback — essential for high-stakes AI applications.
AdvancedSafety & Ethics
ILION
A deterministic safety gate that instantly blocks unauthorized real-world actions proposed by AI agents without relying on statistical training.
IntermediateSafety & Ethics
JobBench
An AI agent benchmark testing 130 real enterprise workflows that humans actually want to delegate, revealing that frontier models score below 50% on tasks like meeting scheduling and report generation.
IntermediateSafety & Ethics
Magnifica Humanitas
Pope Leo XIV's 150-page encyclical on AI ethics, calling for the disarmament of AI from tech monopolies, democratic oversight, and grounding AI policy in human dignity and theological anthropology.
AdvancedSafety & Ethics
Project Glasswing
Anthropic's AI-powered security initiative that uses Claude to autonomously discover and verify tens of thousands of critical vulnerabilities in global software infrastructure faster than threat actors can exploit them.
BeginnerSafety & Ethics
Responsible AI
Responsible AI is the practice of building and deploying AI systems that are fair, transparent, accountable, safe, and beneficial to society.
IntermediateSafety & Ethics
Model Card
A model card is standardized AI model documentation covering intended use, performance, limitations, training data, and ethical considerations — a transparency label for AI.
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