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
Considering impacts on different groups of stakeholders
Explainability
Understanding and evaluating system outputs
Privacy and security
Appropriately obtaining, using, and protecting data and models
Safety
Preventing harmful system output and misuse
Controllability
Having mechanisms to monitor and steer AI system behavior
Veracity and robustness
Achieving correct system outputs, even with unexpected or adversarial inputs
Governance
Enabling stakeholders to make informed choices about their engagement with an AI system
Transparency
Incorporating best practices into the AI supply chain, including providers and deployers
Core dimensions of responsible AI
Fairness
Considering impacts on different groups of stakeholders
Explainability
Understanding and evaluating system outputs
Privacy and security
Appropriately obtaining, using, and protecting data and models
Safety
Preventing harmful system output and misuse
Controllability
Having mechanisms to monitor and steer AI system behavior
Veracity and robustness
Achieving correct system outputs, even with unexpected or adversarial inputs
Governance
Enabling stakeholders to make informed choices about their engagement with an AI system
Transparency
Incorporating best practices into the AI supply chain, including providers and deployers
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.