AI Transparency Techniques
AI Transparency Techniques involve methods and strategies used to enhance the visibility, interpretability, and accountability of artificial intelligence systems. These techniques aim to increase understanding and trust in AI decision-making processes by making them more explainable and comprehensible to users and stakeholders. Techniques may include model documentation, interpretability tools, algorithm auditing, bias detection, and the disclosure of data sources and processing methods.