Resources to learn more about AI Governance.
Get up-to-date details about the ideas, discussions, and processes around AI Governance, ML Observability and ML Ops.
Policies and regulations around AI usage: Interpretation and impact
Overview of global Policies and regulations around AI usage, their sufficiency and impact on our future
AI Explainability Framework in Financial Services: The Trust Imperative
Explore the current AI adoption in financial services, the ‘black box’ problem with AI and how explainability helps resolve the trade-off between accuracy, automation and being compliant
AryaXAI: Accelerating the path to ML transparency
Arya.ai has innovated a state-of-the-art framework, ‘Arya-xAI’ to offer transparency, control and Interpretability on Deep learning models. This whitepaper explores the explainability imperative, tangible business benefits of XAI, overview of current XAI methods and their challenges and details on the functioning of Arya-XAI framework
See how Libra expedites the full-scale adoption of Autonomous AI systems
Learn how to gain flexibility and scalability in a platform, explore relevant use cases for your team, and get pricing information for Libra.