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IBM Consulting helps you weave responsible AI governance into the fabric of your business
Assess your responsible AI maturity How to prepare for the EU AI Act
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Create a holistic AI governance approach

There’s no question generative AI will deliver performance and business value, but technology and regulations are evolving rapidly.

 

Without the right policies, guidelines and practices surrounding AI implementations, organizations can be exposed to ethical dilemmas, non-compliance with data privacy regulations, reputational harm and financial loss. Setting the right data management and AI governance is necessary from the start. IBM Consulting believes AI governance is a challenge that spans society and technology, requiring both organizational governance, processes, and education across the enterprise and technical tools that help enable them.

IBM’s strength in AI governance is unparalleled – it is core to our culture and values. IBM Consulting has both the industry and domain expertise to work with clients to establish the right guardrails and to ensure AI is built responsibly throughout the enterprise. We work with clients to create a responsible, transparent AI strategy supported by organizational governance frameworks alongside automated AI governance platforms.

The European Union Artificial Intelligence Act’s focus on trust, security, and transparency will drive new levels of human oversight and regulatory compliance for AI within the EU. The Act also has extraterritorial scope, meaning that AI developers and deployers around the world must be prepared to adhere to its requirements. IBM Consulting can help you navigate an increasingly complex global landscape of regulations to successfully leverage the promise of generative AI. We do this by helping you establish both the right organizational culture and governance structure as well as helping you with the tools and AI engineering frameworks required to ensure your AI models are behaving in ways that reflect your intent.

How IBM is advancing responsible AI
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How IBM is shaping AI governance in education with Smarter Balanced

What the EU AI Act means for you – and how to prepare

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Capabilities

Our AI consulting services bring together our deep industry and domain expertise, along with AI technology and an experience-led approach that augments, not replaces, your team -- elevating both their skills and the value of their work.

AI governance strategy

Align strategy with intended business outcomes and technology. Encode policies into business rules and transparent reporting mechanisms to establish intentional clarity.

Read how IBM Consulting worked with Pepsico with scale responsible gen AI
Organizational frameworks

Establish AI ethics boards, COEs, iterative training, and communications strategies to operationalize Northstar principles. Establish a structure for accountability. Ensure diversity in model selection, training, deployment, and monitoring.

Multi-model AI governance

Implement and scale multi-model AI solutions via enterprise platforms and applications to drive outcomes. Instrument guardrails to help ensure explainability, fairness, and transparency in all AI implementations underpinned by watsonx.governance.

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Regulatory & risk advisory

Establish an AI risk management framework to ensure compliance with existing and upcoming laws.  Provide guidance on emerging cybersecurity threats and safeguards against them.

Data risk assessment

Enable data collection and transparent reporting to make needed information available to all stakeholders. 

Security services

The potential for AI to bolster the cybersecurity of our critical infrastructure is enormous. Together, we can ensure safe and secure deployment of AI.

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If you don't have AI governance, you won't be able to adopt AI solutions at scale. Christina Montgomery VP Chief Privacy and Trust Officer IBM Read about IBM featured in the Data and Trust Alliance

Insights

CEO Guide: Responsible AI & Ethics Read the report
How IBM addresses AI regulatory requirements at scale
How IBM and the Data & Trust Alliance are fostering greater transparency across the data ecosystem
How IBM is shaping AI governance in education with Smarter Balanced
Meet our experts Manish Goyal

Senior Partner and Global Leader, Artificial Intelligence (AI) & Analytics practice, IBM Consulting, Manish helps enterprises transform their business and capture the tremendous value from the disruption AI offers.

Phaedra Boinodiris

IBM Consulting’s Global Leader for Trustworthy AI, Phaedra is on the IBM Academy of Technology leadership council, is a Fellow of the RSA, a prolific public speaker and author of the book "AI for the Rest of Us".

Darío Gil

Senior Vice President and Director of Research. Dr. Gil leads the technology roadmap and the technical community of IBM, directing innovation strategies in areas including hybrid cloud, AI, semiconductors, quantum computing, and exploratory science.

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