AI Model Auditing and the Future

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. As AI advances, staying ahead with cutting-edge auditing techniques and a glimpse into the future of the field is essential. In this course, explore advanced auditing techniques starting with explainability, which is vital for understanding AI decisions. Learn about popular methods like SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME), providing real-life industry examples. Discover AI drift, which occurs when model performance degrades due to changes in input data or the environment, and mitigation methods like continuous monitoring and regular retraining. Next, explore AI auditing tools, such as automated systems, machine learning-powered monitoring tools, and blockchain-based audit trails. Finally, examine future AI trends and challenges, including its role in high-stake domains and the lack of universal ethical guidelines.