What is trustworthy AI?

Trustworthy AI is crucial to business

In order for AI to help our work and improve our lives, it must respect our data and the insights about us, and it must be transparent and explainable. 

Organizations are recognizing the importance of a holistic approach to governed data and AI technology in order to manage risk and regulations and to safeguard their brand reputations.

Source: Global AI Adoption Index 2021

Circle chart showing 91%

91% of organizations say their ability to explain how their AI made a decision is critical

Our focus areas for governed data and AI technology


Trust comes through understanding. How AI-led decisions are made and what determining factors were included are crucial to understand.


Ensuring proper monitoring and safeguards are in place to mitigate bias and drift leads to fairer, more equitable treatment for all.


Trustworthy AI at scale guards against adversarial threats and potential incursions to keep systems healthy.


Transparency reinforces trust and sharing information with stakeholders of varying roles engenders further trust.


AI systems safeguard data through the entire lifecycle from training to production and governance.

Our approach

A human-centered approach to trustworthy AI

Ethics at the core

Trustworthy AI has three ethical principles at its core. First, that the purpose of AI is to augment human intelligence. Second, that data and insights belong to their creator, not IBM. And third, that new technology and AI systems must be transparent and explainable.

Governed data and AI tech

Organizations must be able to direct and monitor their AI to ensure it’s working as intended and in compliance with regulations. IBM’s governed data and AI technology is built on five focus areas: explainability, fairness, robustness, transparency and privacy.

Open and diverse ecosystem

We believe the benefits of AI should touch all, not just a select few. IBM is committed to driving the responsible use of AI through open-source technology, and to driving continuous improvement by drawing from a diversity of datasets and a global partner ecosystem.

Our four keys to implementing trustworthy AI

Assess risk

Assess, audit and mitigate risk.

Establishing AI guardrails requires a holistic approach across organizational stakeholders. Our comprehensive consult-to-operate process helps you build consensus around risk and provides tools to see inside “black box” algorithms.

Implement governance

Implement ethical AI governance at scale.

You can have governance without ethics, but you can’t deliver ethics without governance. IBM can help you create frameworks for data and model management that adhere to supervisory and regulatory standards.

Operationalize AI

Despite having skilled teams, many organizations struggle to integrate AI projects with existing applications and business goals. Our collaborative methods help you plan, deploy and manage AI, leveraging the full capabilities of IBM Watson.

Guide workforce

Guide learning and best practices.

Maintaining and growing AI requires extensive, up-to-date knowledge. We’ve distilled our deep expertise into learning programs for enterprise design thinking and human-centered AI design, with trust at the core.

Proven leaders

Draw on tools and services from the leader in trustworthy AI

Deeply experienced data science and design teams

Drawing on more than 40,000 IBM Watson client engagements, our experts are leaders in building trustworthy AI services on hybrid cloud for a wide range of industries.

Proven methods for organizational focus

IBM’s scaled data science methods and governance frameworks help you cultivate responsible AI stewardship based on your organization’s unique values and regulatory requirements.

Enterprise design thinking for data and AI

Fast-track innovation with enterprise design thinking for data and AI and enable prioritization throughout your entire AI lifecycle.

Operationalize your AI with our experts

Our specialized teams will help you design, implement and scale trustworthy AI solutions.