Organizations now utilize artificial intelligence and machine learning (AI/ML) solutions to transform their businesses. With this transformation comes the need to ensure that AI/ML models are trustworthy and understandable. This whitepaper outlines the application of model explainability with real-world use cases for institutions using ML. It describes how you can apply model explainability methods to your Amazon Web Services (AWS) AI/ML solutions to meet regulatory compliances, ensure stakeholder trust, provide model transparency, and add business value. This whitepaper is intended for business and technical leaders who are pursuing AI/ML solutions and want additional business value and AI/ML trust by adopting model explainability within their organizations.
