Useful Links
Computer Science
Artificial Intelligence
Explainable Artificial Intelligence
1. Foundations of Explainable AI
2. Taxonomy and Classification of XAI Methods
3. Intrinsically Interpretable Models
4. Post-hoc Explanation Methods
5. Deep Learning Specific Explanation Methods
6. Tree Ensemble Specific Methods
7. Evaluation of Explanations
8. Practical Applications of XAI
9. Challenges and Limitations
10. Future Directions and Emerging Trends
Practical Applications of XAI
Healthcare and Medical AI
Medical Diagnosis Systems
Radiology Image Analysis
Pathology Slide Interpretation
Clinical Decision Support
Treatment Recommendation Systems
Personalized Medicine
Drug Dosage Optimization
Treatment Outcome Prediction
Medical Research Applications
Biomarker Discovery
Clinical Trial Analysis
Epidemiological Studies
Regulatory Considerations
FDA Approval Requirements
Clinical Validation Standards
Patient Safety Protocols
Financial Services
Credit Risk Assessment
Loan Approval Decisions
Credit Scoring Models
Default Risk Prediction
Fraud Detection Systems
Transaction Anomaly Detection
Pattern Recognition
False Positive Reduction
Algorithmic Trading
Investment Decision Support
Risk Management
Market Analysis
Regulatory Compliance
Fair Lending Practices
Anti-Discrimination Laws
Audit Trail Requirements
Autonomous Systems and Robotics
Self-Driving Vehicles
Perception System Explanations
Decision Justification
Safety Critical Decisions
Industrial Robotics
Manufacturing Process Optimization
Quality Control Systems
Predictive Maintenance
Human-Robot Interaction
Action Explanation
Intent Communication
Trust Building
Legal and Criminal Justice
Risk Assessment Tools
Recidivism Prediction
Bail Decision Support
Sentencing Guidelines
Evidence Analysis
Forensic Data Analysis
Pattern Recognition
Chain of Custody
Bias Detection and Mitigation
Fairness Auditing
Discrimination Prevention
Equal Treatment Assurance
Customer Experience and Marketing
Recommendation Systems
Product Recommendations
Content Personalization
Explanation Generation
Customer Analytics
Churn Prediction
Lifetime Value Estimation
Segmentation Analysis
Marketing Optimization
Campaign Effectiveness
Target Audience Selection
Attribution Analysis
Cybersecurity
Threat Detection
Malware Classification
Intrusion Detection
Anomaly Analysis
Security Operations
Incident Response
Forensic Analysis
Risk Assessment
Vulnerability Assessment
System Weakness Identification
Penetration Testing
Security Auditing
Previous
7. Evaluation of Explanations
Go to top
Next
9. Challenges and Limitations