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