Explainability Standards

Explainability standards refer to guidelines that ensure artificial intelligence (AI) and machine learning systems provide transparent and understandable explanations for their decisions. These standards help users and regulators comprehend how specific outputs or recommendations are generated, fostering trust and accountability. They aim to make complex algorithms understandable without requiring technical expertise, ensuring that stakeholders can assess whether AI systems operate fairly, ethically, and in line with legal and societal expectations. Ultimately, these standards promote responsible AI use by balancing technical performance with clarity and transparency.