AWS Inclusion, Diversity & Equity

Join us on our journey to build a more inclusive and equitable world

News & Customer Case Studies

Our Approach to Responsible AI

Community Investments

AWS Employee Experience

News & Customer Case Studies

Our Approach to Responsible AI

Community Investments

AWS Employee Experience

We put inclusion first

Our inclusion, diversity, and equity approach is rooted in the premise that inclusion must come first before we can have a fully diverse and equitable AWS and world.

Inclusion is a powerful force when it's built into products and services from the start and enables our customers to serve their customers better.

Learn how inclusion delivers better results

Inclusion, diversity, and equity at AWS (0:56)

Boost innovation with inclusion and diversity.

Discover research and case studies outlining the positive results reported by businesses who invest in inclusion, diversity, and equity.

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News & Customer Case Studies

Latest News

President Biden stands with Amazon CEO Andy Jassy and other leaders

Amazon collaborates with White House, other tech leaders in commitment to responsible AI

The commitment is another step to pave the way for a future that enhances the benefits of AI and minimizes its risks.

High school robotics program teaches skills beyond tech, with help from AWS

AWS has teamed up with a small high school in eastern Oregon that is making big investments in its robotics program.

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Customer Case Studies

PBS expands access to streaming educational media with AWS

PBS uses several AWS products to extend the reach of member stations through their website and app, providing on-demand and downloadable content to their audience at scale.

Fannie Mae uses AWS to increase equity in the mortgage process

Fannie Mae used AWS services to ingest new data types, such as on-time rent payments, to make the mortgage process more equitable and increase access to home ownership.

ADP makes pay equity & diverse talent management a priority

ADP offers all their customers easy-to-use dashboards, built on AWS, to identify talent gaps and pay equity gaps to retain their diverse talent.

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Our Approach to Responsible AI

AWS is proud to support our customers as they invent, build, and use AI and machine learning to solve problems on behalf of their customers. We are committed to ensuring that our services are used to develop fair and accurate solutions by providing guidance, resources, and tools to assist in the responsible application of AI and ML technologies.

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Meet Peter Hallinan, who leads initiatives in the science and practice of responsible AI at AWS (1:28)

Meet Diya Wynn, a Senior Practice Manager who leads customer engagements on responsible AI (1:32)

Meet Mia Mayer, an Applied Scientist with the AWS Machine Learning University (MLU) program (1:32)

Meet Michael Kearns, an Amazon Scholar and professor of computer and information science (1:32)