Results for "risk-based regulation"
US approval process for medical AI devices.
AI-driven buying/selling of financial assets.
Returns above benchmark.
A measure of a model class’s expressive capacity based on its ability to shatter datasets.
RL using learned or known environment models.
How well a model performs on new data drawn from the same (or similar) distribution as training.
Randomly zeroing activations during training to reduce co-adaptation and overfitting.
Breaking documents into pieces for retrieval; chunk size/overlap strongly affect RAG quality.
Training across many devices/silos without centralizing raw data; aggregates updates, not data.
Systematic review of model/data processes to ensure performance, fairness, security, and policy compliance.
Samples from the k highest-probability tokens to limit unlikely outputs.
A narrow minimum often associated with poorer generalization.
Logged record of model inputs, outputs, and decisions.
Central catalog of deployed and experimental models.
Inferring sensitive features of training data.
Incrementally deploying new models to reduce risk.
Average value under a distribution.
Review process before deployment.
Process for managing AI failures.
Governance of model changes.
AI used without governance approval.
Systems where failure causes physical harm.
AI predicting crime patterns (highly controversial).
Ultra-low-latency algorithmic trading.
Market reacting strategically to AI.
AI reinforcing market trends.
Sudden extreme market drop.
Signals indicating dangerous behavior.
Isolating AI systems.
Accelerating safety relative to capabilities.