Labelbox introduces monitorability disposition measurement in AI models
HIGHLIGHTS
- •Labelbox introduced the concept of 'monitorability disposition' and its measurement in AI models
- •Through a study that evaluates models' willingness to be monitored and stay monitored, using tools like enable_<channel>_monitor() and disable_<channel>_monitor(), and experimenting with different topologies and directive conditions
- •This is significant as it provides a new metric to evaluate AI model safety and behavior, and offers insights into how models can be improved to be more monitorable and less likely to engage in misbehavior
Published:
Official Source (Company Blog)