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
Incorporating best practices into the AI supply chain, including providers and deployers
Transparency
Enabling stakeholders to make informed choices about their engagement with an AI system
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
Incorporating best practices into the AI supply chain, including providers and deployers
Transparency
Enabling stakeholders to make informed choices about their engagement with an AI system