AI Governance helps manage the privacy, ethical, and societal risks associated with AI.
OneTrust has launched a new solution called Artificial Intelligence (AI) Governance to help organizations address the risks associated with AI. As AI and machine learning (ML) are increasingly used to process copious amounts of data and drive innovation, AI Governance provides visibility and control over data usage and the risks posed by AI models.
“Success and scaling of AI projects require leaders to address strategies and methods related to fairness, transparency, explainability, reliability, privacy and security.”– Gartner1
With the widespread adoption of AI and ML, it is crucial for organizations to address the ethical, privacy, and societal risks associated with these technologies. AI Governance enables companies to embed data ethics, privacy, and security practices by default in their use of AI across their business.
“Responsible AI is not an option, but a necessity in today’s business landscape. Using our product, organizations can automate record-keeping and risk management, ensuring transparency, fairness, and accountability in their AI systems. By implementing responsible AI practices, companies can build trust with customers, regulators, and society at large, and position their business for success in the AI-driven future,” said Blake Brannon, Chief Product and Strategy Officer at OneTrust.
AI Governance enables compliance teams and data scientists to gain a better understanding of data usage and classification, evaluate risks, and demonstrate compliance with emerging global requirements. The new solution provides the following capabilities:
- Inventory: Organizations can centrally view and manage AI models, datasets, and projects, including those developed internally or sourced from third parties. AI Governance establishes relationships across data sets and AI models, tracing the path of data from its origin.
- Assess risk: Users can evaluate AI projects against global frameworks and laws, such as the NIST AI Risk Management Framework (RMF) and OECD AI Principles. The solution connects to structured and unstructured data sources, automatically discovering and classifying sensitive and personal data that may lead to algorithmic bias or privacy risk. Regulatory intelligence automates compliance workflows, risk management, and the generation of required control mitigations and compliance documentation.
- Monitor: AI Governance integrates with existing model registries and MLOps tooling to identify AI model usage and changes, syncing with a centralized inventory. Teams can continuously evaluate models and training data for drift, fairness, bias, accuracy, and quality with in-app alerts.
The new solution will be initially available to select customers through the AI Governance Early Access Program (EAP).
1Gartner, Applying AI — Governance and Risk Management, Avivah Litan, Svetlana Sicular, et al., Dec 7, 2022
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