Champion responsible AI adoption
AI Governance empowers risk-based decisions around AI adoption
Incentives for AI adoption are increasing, and businesses are racing to keep pace. A surge of generative AI-powered innovations has reduced technology barriers and fuled widespread adoption. However, these techonlogies also exacerbate existing challenges ind ata privacy, security, and governance - while exposing organizations to issues like algorithmic bias, discrimination, and hallucination. Moreover, they contribute to a growing workforce skills gap and shortages of AI talent.
Cautionary tales of AI misahaps due to trust issues emhpasizes the critical need for responsible AI. While not all organizations develop AI internally, every one of them adopts the technology through vendors and third-parties.
How OneTrust can help
OneTrust AI Governance acts as a unified program center for AI initiatives. By embedding interdisciplinary risk evaluation early in the AI project lifecycle, OneTrust helps organizations “shift-left”, enabling innovation and establishing defensibility without slowing down AI implementations.
Integrations streamline data collection, reducing governance burden on technical resources while ensuring everyone in your organization understands the intentional trade-offs made to achieve responsible use of AI.
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Know where AI is being used, built, or produced
Manage AI projects, track proprietary and open-source models, govern training datasets, and gain visibility into your organization's AI usage and development through standardized intake mechanisms, project management integrations, and AI/ML scanning.
Streamline risk identification
Facilitate trust throughout AI onboarding, development, and delivery. Streamline decision-making across compliance, risk management, and technology stakeholders to ensure alignment with global laws, standards, and organizational policies. Accomplish it all within a secure, centralized platform.
Continuously monitor AI systems performance
Detect and address shadow AI and deviations from intended AI use. Promote collaboration among AI governance committees and cross-functional stakeholders. Control and monitor AI/ML technologies within a centralized program command center.
Provide transparency to key stakeholders
Build trust and provide transparency to key stakeholders including customers, board members, employees, and regulators with actionable insights, dynamic dashboards, and model cards.
