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A man on a video conference call on his laptop using sign language to communicate

Bridge Academy

Learn how AI is helping therapists, teachers, and parents improve learning and teaching experiences for students with special needs.

Watch the story >

Scott-Morgan Foundation

See how a hyper-realistic avatar and predictive AI are transforming communication and preserving the voice, personality, and physical mannerisms for someone with a degenerative condition.

Brazilian Sign Language

Using computer vision and an original AI engine, we’re converting Brazilian sign language to text and speech in real-time so people can communicate seamlessly.

Watch the story >

Open BCI

Discover how AI technologies leverage residual muscle activity from a person with spinal muscular atrophy, allowing him to control and fly a drone with his mind.

A woman with a prosthetic arm sitting in a Leonvo office with two of her colleagues

Product Diversity Office – innovating for accessibility

To create innovations that move society forward, we must design products that are accessible to people of different types of abilities. In 2019, Lenovo launched the Product Diversity Office (PDO) to ensure Diversity & Inclusion was embedded into product design and development processes.


By 2025, inclusive design experts will vet 75 percent of Lenovo’s products to ensure they work for everyone, regardless of their abilities or physical attributes. That’s what ‘Smarter Technology for All’ means at Lenovo.

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Diversity & Inclusion

AI projects must work for all end-users and should test and monitor throughout the system’s lifecycle to minimize any potential biases.

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Privacy & Security

Our inputs and outputs should always protect individual and group privacy and guard against cybersecurity threats.

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Accountability & Reliability

We implement stress tests into our AI systems and have established a framework for responsibility in case of AI failure.

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Explainability

The decision-making process of our AI systems is accessible to users so they can easily understand how decisions were made.

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Transparency

We have measures that address the traceability of the AI system during its lifecycle and notify customers when they’re interacting with AI applications.

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Environmental & Social Impact

We evaluate the environmental impact of the AI system’s development, deployment, and/or use, and mitigate the effects on society.

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