Safety
term_id: safety
Category: ethics_safety
Definition
AI Safety is a multidisciplinary field focused on preventing adverse outcomes from advanced artificial intelligence. It encompasses technical challenges such as alignment, interpretability, and robustness, as well as broader societal concerns like job displacement and bias. The goal is to develop AI that is beneficial, controllable, and aligned with human values, ensuring that as systems become more capable, they remain reliable and secure for all stakeholders.
Summary
The study and practice of ensuring AI systems do not cause physical, digital, or societal harm.
Key Concepts
- Value Alignment
- Interpretability
- Control Theory
- Risk Assessment
Use Cases
- Developing kill switches for autonomous vehicles
- Auditing algorithms for bias
- Creating regulatory frameworks for AI deployment