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
Advancing the science and research behind responsible 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.
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.