1. Trends and Trajectories for Explainable, Accountable and Intelligible Systems
2. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
3. Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency
4. Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems;Antoniadi Anna Markella;A Systematic Review. Applied Sciences,2021
5. Aditya Bhattacharya . 2022. Applied Machine Learning Explainability Techniques . In Applied Machine Learning Explainability Techniques . Packt Publishing , Birmingham, UK . https://www.packtpub.com/product/applied-machine-learning-explainability-techniques/978 1803 246154 Aditya Bhattacharya. 2022. Applied Machine Learning Explainability Techniques. In Applied Machine Learning Explainability Techniques. Packt Publishing, Birmingham, UK. https://www.packtpub.com/product/applied-machine-learning-explainability-techniques/9781803246154