{"@context":"https://schema.org","@type":"WebPage","contentId":"00000193-844a-d8ff-a1ff-e5db66410028","url":"https://www.aboutamazon.com/what-we-do/artificial-intelligence-ai/responsible-ai","name":"Responsible AI","description":"Together with academic, industry, civil society, and government partners, we are committed to the continued development and deployment of responsible, reliable, and trustworthy AI technologies. We also remain dedicated to helping customers innovate while also establishing and implementing the necessary safeguards to protect them and their end users.","primaryImageOfPage":{"@type":"ImageObject","url":"https://assets.aboutamazon.com/dims4/default/3704a2f/2147483647/strip/true/crop/1280x640+0+40/resize/1200x600!/quality/90/?url=https%3A%2F%2Fassets.aboutamazon.com%2F6b%2Fe3%2F548afd064987815229215e7eb400%2Fimage-121.png","width":"1200","height":"0"},"text":"At Amazon, we prioritize technology that will solve problems for our customers. That’s why we're developing AI across all our businesses—creating solutions that transform everyday life, helping people be more productive, empowered, and fulfilled.\n\nRecognizing the transformative potential of AI for people and communities worldwide, we are dedicated to fostering its safe, transparent, and responsible development.\n\nWe approach AI development through collaboration, bringing together experts across Amazon from our security, privacy, science, engineering, public policy and legal teams**.** We provide both our internal teams and our external customers with the tools and services they need to design, build, and operate AI systems responsibly.\n\n- **Fairness**: Evaluating the impact of AI on different groups and broader societal issues;\n- **Explainability**: Understanding and evaluating system outputs, such as responses;\n- **Privacy and security**: Appropriately obtaining, using, and protecting data and models;\n- **Safety**: Preventing harmful system output and misuse;\n- **Controllability**: Having mechanisms to monitor and steer AI system behavior;\n- **Veracity and robustness**: Achieving correct system outputs, even with unexpected or adversarial inputs;\n- **Governance**: Incorporating best practices into the AI supply chain, from technology providers to consumer applications; and\n- **Transparency**: Enabling consumers and companies to make informed choices about their engagement with an AI system.\n\n![A phot of an trainium chips.](https://assets.aboutamazon.com/dims4/default/270ab50/2147483647/strip/true/crop/1620x1080+150+0/resize/300x200!/quality/90/?url=https%3A%2F%2Fassets.aboutamazon.com%2F33%2Fe0%2F8ca92d7c4200a602c0dab007fd2d%2Fai-chip-hero-1.jpg)\n\n### We’ve also made significant progress in advancing responsible AI through collaboration with industry experts and academia. These efforts have resulted in:\n\n- More than 70 internal and external responsible AI offerings, tools, and mechanisms;\n- More than 500 published research papers, studies, and scientific blogs on responsible AI; and\n- Tens of thousands of responsible AI training hours for Amazon employees.\n\nResponsible AI governance extends beyond Amazon. We actively engage with industry partners, governments, and regulators worldwide to align our work with evolving standards and contribute to the responsible development of AI. Through organizations like the Frontier Model Forum and Partnership on AI, we actively drive AI safety research and shape technical standards. These collaborative efforts aim to foster innovation that balances progress with responsibility, while promoting global interoperability and economic security.\n\n### Learn more about Amazon’s approach to responsible AI by visiting the links below\n\n![Row of United Nations flags displayed on flagpoles](https://assets.aboutamazon.com/dims4/default/ca63ff7/2147483647/strip/true/crop/1688x1125+156+0/resize/300x200!/quality/90/?url=https%3A%2F%2Fassets.aboutamazon.com%2F32%2Fa5%2F71de37e347989ed5b9b0c05173ee%2Fabout-amazon-hero-united-nations-david-zapolsky-amazon-news-ds-20260917.jpg)\n\n- [Amazon highlights investments in satellite connectivity, responsible AI, and sustainability at UN General Assembly](https://www.aboutamazon.com/news/policy-news-views/united-nations-general-assembly-2026-amazon-ai-sustainability)\n\n![A graphic of a laptop surrounded by grids and icons ](https://assets.aboutamazon.com/dims4/default/fc7ab59/2147483647/strip/true/crop/1350x900+114+0/resize/300x200!/quality/90/?url=https%3A%2F%2Fassets.aboutamazon.com%2F0b%2F37%2F9b314ab2432f9c455d128b7e92c3%2Fabout-amazon-inline-ai-2.jpg)\n\n- [Aligning on global responsible AI policies that promote robust safety, innovation, and security](https://www.aboutamazon.com/news/policy-news-views/amazon-responsible-ai)\n\n![A photo of an employee in a server room holding a laptop. The graphic includes code overlaying the photo to represent the screen view of the lap top.](https://assets.aboutamazon.com/dims4/default/a043f11/2147483647/strip/true/crop/1688x1125+156+0/resize/300x200!/quality/90/?url=https%3A%2F%2Fassets.aboutamazon.com%2F62%2F08%2Fe325f7104499ab70db91e6384bbd%2Faipubsec.png)\n\n- [Amazon joins US Artificial Intelligence Safety Institute to advance responsible AI](https://www.aboutamazon.com/news/policy-news-views/amazon-joins-us-artificial-intelligence-safety-institute-to-advance-responsible-ai)\n\n### Amazon responsible AI announcements and resources\n\n- [Governance by design: The essential guide for successful AI scaling](https://aws.amazon.com/blogs/machine-learning/governance-by-design-the-essential-guide-for-successful-ai-scaling/)\n- [Amazon Joins the Coalition for Content Provenance and Authenticity (C2PA) Steering Committee](https://c2pa.org/amazon-joins-the-c2pa-steering-committee/)\n- [Amazon and Meta join the Frontier Model Forum to promote AI safety](https://www.frontiermodelforum.org/updates/amazon-and-meta-join-the-frontier-model-forum-to-promote-ai-safety/)\n- [Responsible AI for the greater good: insights from AWS’s Diya Wynn](https://aws.amazon.com/careers/life-at-aws-responsible-ai-for-the-greater-good-insights-from-aws-diya-wynn/)\n- [AWS achieves ISO/IEC 42001:2023 Artificial Intelligence Management System accredited certification](https://aws.amazon.com/blogs/machine-learning/aws-achieves-iso-iec-420012023-artificial-intelligence-management-system-accredited-certification/)\n- [Advancing AI trust with new responsible AI tools, capabilities, and resources](https://aws.amazon.com/blogs/machine-learning/advancing-ai-trust-with-new-responsible-ai-tools-capabilities-and-resources/)\n- [Responsible AI in the wild: Lessons learned at AWS ](https://www.amazon.science/blog/responsible-ai-in-the-wild-lessons-learned-at-aws)\n- [Responsible AI in the generative era ](https://www.amazon.science/blog/responsible-ai-in-the-generative-era)\n\n### Learn more about Amazon’s responsible AI tools and capabilities\n\n- [AWS responsible AI tools and resources](https://aws.amazon.com/ai/responsible-ai/)\n- [Amazon Nova and our commitment to responsible AI](https://www.amazon.science/blog/amazon-nova-and-our-commitment-to-responsible-ai)\n- [Amazon Bedrock Guardrails](https://aws.amazon.com/bedrock/guardrails/)\n- [Responsible use of AI guide](https://d1.awsstatic.com/products/generative-ai/responsbile-ai/AWS-Responsible-Use-of-AI-Guide-Final.pdf)\n- [Responsible AI practices course](https://explore.skillbuilder.aws/learn/course/external/view/elearning/19603/responsible-artificial-intelligence-practices)\n- [Introduction to responsible AI course](https://aws.amazon.com/education/awseducate/)\n- [Amazon’s frontier model safety framework](https://www.amazon.science/publications/amazons-frontier-model-safety-framework)\n","publisher":{"@type":"Organization","name":"About Amazon","url":"https://www.aboutamazon.com","sameAs":["https://x.com/amazonnews","https://www.linkedin.com/company/amazon","https://www.instagram.com/amazonnews"],"logo":{"@type":"ImageObject","url":"https://assets.aboutamazon.com/bd/8f/88e7b0314cc2bd05b9de3155a0fe/amazon-news.svg"},"parentOrganization":{"@type":"Organization","name":"Amazon","url":"https://www.amazon.com","sameAs":["https://www.wikidata.org/wiki/Q3884","https://en.wikipedia.org/wiki/Amazon_(company)","https://x.com/Amazon"]}}}