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HomeTrustLearn about integrated AI governance at IBMRead our POV on responsible synthetic dataRegister nowresponsible AIPoint of view Foundation models: Opportunities, risks and mitigations. Read the paperFostering a more ethical future by leveraging technologyCase study: Fostering greater transparency across the data ecosystemFour strategic shifts to accelerate value with AI governance AI governance isn't just about compliance — it's a strategic lever for innovation, scale and value. Learn moreTransforming change management with responsible AI Prioritizing trust, transparency, skills and agility can help organizations lead the way through AI transformation. Learn about the frameworkResponsibly scaling AI agents across the enterprise Understanding the unique opportunities, risks and mitigations of AI agents is a critical first step toward scaling them responsibly. Get the insightsAccelerating innovation through centralized AI governance The IBM Office of Privacy and Responsible Technology is scaling responsible AI and unlocking business value through integrated AI governance. Find out howWhat are the costs of not implementing AI governance? Just as important as what AI governance helps organizations achieve is what it helps organizations avoid. Find out the extensive potential costs of not implementing an AI governance program. Read the blogCelebrating the 5th anniversary of the IBM Responsible Technology Board Members of the IBM Responsible Technology Board reflect on their experiences helping to ensure that AI is used responsibly and for the benefit of all of society. Get the insights5 best practices for responsible synthetic data Get your organization ready to capitalize on the benefits of synthetic data for AI. Read the blogRead the Principles for Trust and TransparencyRead the paperAI governance The enterprise guide to generative AI Find out strategies for capturing business value with generative AI while also building governance guardrails that build trust. Get the guideBoardPOVs and perpectivesLearn moreGet the AI governance ebookHelping researchers and developers make better AI design decisions IBM and the University of Notre Dame have published BenchmarkCards, a collection of datasets, benchmarks and mitigations that helps guides the development of safe and transparent AI systems. Learn moreExploring the future of responsible AI in finance At the Notre Dame-IBM Tech Ethics Lab, industry leaders gathered to discuss the opportunities and challenges of responsible AI in finance. Get the insightsFostering greater transparency across the data ecosystem Co-created by IBM, the Data & Trust Alliance's new Data Provenance Standards offer a first-of-their-kind metadata taxonomy to support transparency about data provenance. Learn about the standardsProactively generating value with responsible AI Experts from IBM and University of Notre Dame outline recommendations for getting the best ROI from responsible AI investments. Get the insightsPartnership on AI shares risk mitigation strategies for the open foundation model value chain With input from IBM, Partnership on AI's new report explores safeguards for open foundation models. Read the reportThe Data & Trust Alliance offers new policy roadmap for AI governance Co-authored by IBM, the Data & Trust Alliance's new policy roadmap provides recommendations for balancing AI innovation with AI safety. Read the recommendationsPulitzer Center launches program to train 1,000 journalists on AI reporting With support from the Notre Dame-IBM Technology Ethics Lab, the Pulitzer Center launches the AI Spotlight Series, a global training initiative. Learn moreAI Governance Alliance releases Briefing Paper Series In collaboration with IBM, the World Economic Forum offers three briefing papers to help guide responsible transformation with AI. Read moreExplore our AI governance servicesDiscover watsonx.governance

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