AIUK 2022 Workshop - ExplAIN: AI Explainability in Practice
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the practical aspects of AI explainability in this 57-minute workshop from the Alan Turing Institute's AI UK 2022 series. Delve into four key principles, process-based vs. outcome-based explanations, and explanation-aware design. Examine model choice considerations through a case study, addressing issues like unconscious and statistical biases, bias mitigation, and historical bias. Investigate impact explanations, data subject dignity, and fairness explanations in AI algorithms. Discuss legal and ethical issues, problem formulation, social trust, and human bias in AI implementation. Conclude with insights on deep learning models and sufficient interpretability, providing a comprehensive overview of AI explainability challenges and solutions in real-world applications.