Key Areas of Focus and Proposed Solution for Each Topic Investigated of Regulatory Framework for AI-Based TDTs and RPT
| Topic | Key area of focus | Solution |
|---|---|---|
| International regulatory dimensions | Diverse data improves AI accuracy and equity | Ensure global cooperation for consistent regulations |
| Privacy regulation frameworks | Varying privacy laws complicate AI implementation | Address these differences |
| Federated learning approaches | Federated learning enhances privacy in AI training | Combine federated learning with advanced techniques to develop TDT for RPT and maintain data security |
| Cross-border data sharing | Unified framework is essential for cross-border data sharing | Streamline compliance to foster global AI development |
| Ethical and regulatory considerations | Integration of TDTs in RPT presents ethical challenges | Ensure data privacy, consent, bias mitigation, and fairness |