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What is Trustworthy AI? | IBM

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Artificial IntelligenceSecurityAlice GomstynAlexandra JonkerAmanda McGrathartificial intelligenceexplainableinterpretabletransparentAI modelsAI risksIBM Privacy Statementmachine learningdeep learningbiased algorithmic decision-makingsecurity concernsaligned with original intentexplainabilityexplainability methodsalgorithmicdataAI interpretabilitytransparencyAI privacydata privacypersonal datafederated learningcybersecurityGo to episodelarge language model (LLM) is trickedEU AI Actartificial intelligenceBlueprint for AI Bill of RightsDeloitteIBMResponsible AIWebinar recording Agent Ops and Responsible AI Join this webinar to explore practical strategies for operating and governing AI agents responsibly at scale, with expert insights on observability, risk management and accountable AI operations. Watch nowNEW Smarter AI governance and security solutions Learn how to turn governance and security into drivers of resilience, smarter decision-making and confident growth with practical strategies from this buyer’s guide. Get the guideTII report IBM X-Force Threat Intelligence Index 2026 Gain insights to prepare and respond to cyberattacks with greater speed and effectiveness with the IBM X-Force® Threat Intelligence Index. Read the reportData governance ebook Build the foundation for trusted, secure and responsible AI Download the ebook to discover how to move from today’s most pressing data challenges and establish an automated, end‑to‑end governance framework that improves data quality, strengthens trust and ensures regulatory readiness. Get the ebookAI for business ebook AI for business: Maximize AI ROI through smarter governance Register to access IBM insights and resources on emerging technologies, including AI, automation and data and learn how organizations are putting them into practice. Download the ebookSecure and govern data ebook Building a strong data foundation for trustworthy AI Explore the Data Matters hub to see how strong data practices and governance lay the foundation for scalable AI success. See why data mattersGartner Magic Quadrant report IBM named a Leader in the Gartner® Magic Quadrant™ for GRC Unlock insights into IBM's OpenPages and learn why we were named a leader. Get the reportIDC white paper Why AI governance is a business imperative for scaling enterprise artificial intelligence Learn about the new challenges of generative AI, the need for governing AI and ML models and steps to build a trusted, transparent and explainable AI framework. Read the white paperEU AI Act, Phase 2 report Getting ready for the EU AI Act, Phase 2: Risk-assess and categorize Understand the importance of establishing a defensible assessment process and consistently categorizing each use case into the appropriate risk tier. Read the reportAI lifecycle governance insight AI lifecycle governance Learn how to drive ethical, compliant practices with a portfolio of generative AI products. Read the insightFoundation model ebook How to choose the right foundation model Learn how to select the most suitable AI foundation model for your use case. Read the ebookDiscover watsonx.governanceDiscover AI governance solutionsDiscover AI governance servicesExplore watsonx.governanceBook a live demoAdverse impacts of revealing the presence of “Artificial Intelligence (AI)” technology in product and service descriptions on purchase intentions: the mediating role of emotional trust and the moderating role of perceived risk.From theory to practice: Harmonizing taxonomies of trustworthy AI.OECD AI Principles: Accountability (Principle 1.5).Artificial Intelligence Risk Management Framework (AI RMF 1.0).Blueprint for an AI Privacy Bill of Rights: Safe and Effective Systems.EU Artificial Intelligence Act: Recital 27.

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