Trusted AI for Business

As enterprises build and deploy artificial intelligence systems, it's important to understand the ethical considerations of our work. Ethics are not a separate business objective bolted on after an AI system has been deployed. They are part of business performance. Only by embedding ethical principles into AI applications and processes can we build systems that people can trust.

Trusted AI for Business

As enterprises build and deploy artificial intelligence systems, it's important to understand the ethical considerations of our work. Ethics are not a separate business objective bolted on after an AI system has been deployed. They are part of business performance. Only by embedding ethical principles into AI applications and processes can we build systems that people can trust.

What IBM is doing

IBM is leading the way in building trusted AI for business. For more than a century, we have been creating solutions that build collaboration and trust between people, businesses, and machines.

We invite you to explore what we are doing — and what we believe.

Trusted AI for Business focus areas

These focus areas provide a framework for building trust in AI systems.

Trust and responsibility

Data and insights belong to the people and businesses who created them. Organizations that collect, store, manage, or process data have an obligation to handle it responsibly.

Technical trust

Knowing how an AI system arrives at an outcome is key to trust. To improve transparency, we should define how we build, deploy, and manage AI systems through scientific research.

Bias, diversity, and inclusion

Unbiased models and a spirit of diversity and inclusion are necessary to create fair AI systems, which can mitigate, rather than accelerate, our existing prejudices.

AI for social good

AI can be applied to solve some of humanity’s most pervasive problems and create opportunity for all.

AI, jobs, and the economy

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