July 2, 2024
White Paper
![Improving the Explainability of AI](https://live-cltc.pantheon.berkeley.edu/wp-content/uploads/2024/06/Improving-Explainability-of-AI_Page_01-copy-110x127.png)
Improving the Explainability of Artificial Intelligence: The Promises and Limitations of Counterfactual Explanations
By: Alexander Asemota, Improving the Explainability of Artificial Intelligence: The Promises and Limitations of Counterfactual Explanations
A new white paper from the Center for Long-Term Cybersecurity explores diverse approach to explainable artificial intelligence (xAI), focusing on counterfactual explanations, or CTEs. The paper, “Improving the Explainability of Artificial Intelligence: The Promises and Limitations of Counterfactual Explanations,” was authored by Alexander Asemota, a 2023-2024 AI Policy Hub Fellow.