Guide
What is AI Safety?
Ensuring AI systems behave as intended without causing harm.
AI safety encompasses the practices, techniques, and research aimed at ensuring AI systems operate reliably, predictably, and without causing unintended harm to users or society.
Key AI Safety Concerns
- Hallucinations: AI generating false or fabricated information
- Toxicity: Harmful, offensive, or inappropriate outputs
- Bias: Discriminatory or unfair treatment of groups
- Privacy: Leaking personal or sensitive information
- Security: Vulnerability to manipulation or attacks
AI Safety in Production
Production AI safety requires multiple layers:
- Input validation and sanitization
- Output classification and filtering
- Guardrails for content blocking
- Continuous monitoring and alerting
- Human oversight for high-risk decisions
DriftRail Safety Features
DriftRail provides 8 detection types for comprehensive safety monitoring: hallucination, policy violation, confidence analysis, toxicity, prompt injection, PII detection, factual accuracy, and brand safety.
Is AI safety the same as AI alignment?
AI alignment is a subset of AI safety focused on ensuring AI goals match human intentions. AI safety is broader, including operational safety, security, and reliability.
Related Reading
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