Operationalising Responsible AI

As AI permeates critical decision-making processes, ensuring its ethical and responsible deployment is paramount. This selection of tools focuses on mitigating risks associated with AI, including detecting and quantifying model bias, ensuring fairness across different demographic groups, promoting explainability (XAI), and verifying compliance with emerging regulatory frameworks. These applications help developers and auditors systematically assess AI models to build trust and accountability in technological solutions.