Continual Learning Futures

1. Selective plasticity algorithms – refining methods that identify which parameters can change without destabilizing the model.

2. **Evaluation frameworks** – building shared benchmarks and metrics for on-the-job learning.
3. **Scalable oversight** – designing human-AI collaboration loops that keep up with rapid adaptation.
4. **Energy-aware continual learning** – optimizing update frequency to balance performance with sustainability.

5. Regulatory readiness – preparing documentation that satisfies emerging rules on adaptive AI systems.