Transform responsible AI from theory into practice

Promoting the safe and responsible development of AI as a force for good

Building AI responsibly at AWS

The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. At AWS we are committed to developing AI responsibly, taking a people-centric approach that prioritizes education, science, and our customers, to integrate responsible AI across the end-to-end AI lifecycle.

Building AI responsibly at AWS

The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. At AWS we are committed to developing AI responsibly, taking a people-centric approach that prioritizes education, science, and our customers, to integrate responsible AI across the end-to-end AI lifecycle.

Core dimensions of responsible AI

Fairness

How a system impacts different subpopulations of users (e.g. by gender, ethnicity)

Explainability

Mechanisms to understand and evaluate the outputs of an AI system

Privacy and security

Data protected from theft and exposure

Robustness

Mechanisms to ensure an AI system operates reliably

Governance

Processes to define, implement and enforce responsible AI practices within an organization

Transparency

Communicating information about an AI system so stakeholders can make informed choices about their use of the system

Core dimensions of responsible AI

Fairness

How a system impacts different subpopulations of users (e.g. by gender, ethnicity)

Explainability

Mechanisms to understand and evaluate the outputs of an AI system

Privacy and security

Data protected from theft and exposure

Robustness

Mechanisms to ensure an AI system operates reliably

Governance

Processes to define, implement and enforce responsible AI practices within an organization

Transparency

Communicating information about an AI system so stakeholders can make informed choices about their use of the system

Hear from AWS voices

Meet Diya – Hear why it is important to build technology for everyone
Meet Mia - An applied scientist working to make AI more accessible

Community contribution and collaboration

Partnerships

With deep engagement with multi-stakeholder organizations such as the OECD AI working groups, the Partnership on AI, and the Responsible AI Institute as well as strategic partnerships with universities on a global scale, we are committed to working alongside others to develop AI and ML technology responsibly and build trust.

Research grants

To spur research in responsible use, AWS provides research grants through Amazon Research Awards and the joint Amazon and National Science Foundation Fairness in AI Grants program.

Diversity, equity and Inclusion

We take a people-centric approach to educating the next generation of AI leaders with programs like the AI & ML Scholarship program and We Power Tech to increase access to hands-on learning, scholarships, and mentorship for underserved or underrepresented in tech.

Public policy

Supporting the development of effective risk-based regulatory frameworks for AI that protects civil rights, while allowing for continued innovation. Through engagements with the White House and UN, among others, we are committed to sharing our knowledge and expertise to advance the responsible and secure use of AI.

Community contribution and collaboration

Partnerships

With deep engagement with multi-stakeholder organizations such as the OECD AI working groups, the Partnership on AI, and the Responsible AI Institute as well as strategic partnerships with universities on a global scale, we are committed to working alongside others to develop AI and ML technology responsibly and build trust.

Research grants

To spur research in responsible use, AWS provides research grants through Amazon Research Awards and the joint Amazon and National Science Foundation Fairness in AI Grants program.

Diversity, equity and Inclusion

We take a people-centric approach to educating the next generation of AI leaders with programs like the AI & ML Scholarship program and We Power Tech to increase access to hands-on learning, scholarships, and mentorship for underserved or underrepresented in tech.

Public policy

Supporting the development of effective risk-based regulatory frameworks for AI that protects civil rights, while allowing for continued innovation. Through engagements with the White House and UN, among others, we are committed to sharing our knowledge and expertise to advance the responsible and secure use of AI.