AI Safety
The field concerned with preventing AI systems from causing harm, from everyday failures to systemic risks.
AI safety spans near-term issues — a model giving dangerous instructions, a system failing silently in production — and longer-term concerns about highly capable systems. It is engineering practice as much as philosophy: evaluation, red teaming, monitoring, and rollback are all safety work.
In practice: Testing what a model does with a request it should refuse, before customers find out.
Where this comes up
- Does Relying on AI Hurt Your Skills? The Implications
- Google AI Essentials Alternatives in 2026: AI Courses and Certificates to Compare
- Is Character AI Safe? Exploring Risks and Safety Features
- Is Claude AI Safe? Understanding the Risks and Best Practices
- Is Claude Conscious? Anthropic's J-Space Research Explained
- Is DeepSeek Safe? An In-Depth Look at Security and Privacy Concerns