Responsible AI is a top priority for Amazon, with a focus on safety, fairness, security, and privacy. They have developed numerous tools and training resources to support responsible AI practices within their organization and for their customers. Amazon has introduced new tools to enhance the safety and transparency of their AI services, including Railings for Amazon Bedrock and AI service cards for Amazon Titan Text Premier. They have also implemented measures such as adversarial testing to detect flaws and vulnerabilities in their AI systems, as well as watermarking to identify AI-generated content. Amazon has also collaborated with various organizations to address trust and security issues related to AI, including joining the US Artificial Intelligence Security Institute Consortium and the Technology agreement to combat the misleading use of AI in elections. Additionally, Amazon is using AI for good by addressing societal challenges and supporting initiatives for education. They provide training on responsible AI use and are committed to providing breakthrough innovation with trust as a priority.
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https://aws.amazon.com/blogs/machine-learning/a-progress-update-on-our-commitment-to-safe-responsible-generative-ai/
Amazon Web Services provides an update on the progress of its commitment to safe and responsible generative AI.
