Ethics & Safety
AI Safety
Definition
The field focused on preventing AI systems from causing unintended harm and ensuring they remain beneficial.In-Depth Explanation
AI safety research addresses near-term concerns (bias, misuse, reliability) and long-term risks (loss of control, misalignment). Key areas include robustness testing, interpretability, value alignment, and governance. Organizations like Anthropic and OpenAI prioritize safety research.
Real-World Example
Implementing content filters to prevent LLMs from generating harmful content is an AI safety measure.
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