Responsible AI

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Understanding AWS Responsible AI: Key Concepts and Dimensions

2024-12-02T04:56:02+00:00

As AI becomes a bigger part of our lives, it’s important to make sure it’s used responsibly. Responsible AI means building and using AI systems in ways that are ethical, fair, and accountable. AWS provides a range of tools to help organizations build AI systems that follow these principles. In this blog, we’ll look at what responsible AI is, the key dimensions of responsible AI on AWS, and the tools available to support these practices. Understanding Generative AI Generative AI is a subset of artificial intelligence that utilizes machine learning models to generate new content. This includes text, images, videos, audio, [...]

Understanding AWS Responsible AI: Key Concepts and Dimensions2024-12-02T04:56:02+00:00

Securing LLMs with Guardrails for Amazon Bedrock

2024-01-03T00:32:13+00:00

One of the pillars of the AWS Well-Architected Framework is security. It is a foundational concept when running your workloads in the cloud to think about privacy, access limits, compliance with regulatory requirements, and data protection; and this includes Amazon Bedrock. Along with several AI announcements during the keynote of AWS CEO, Adam Selipsky during AWS re:Invent 2023 was Guardrails for Amazon Bedrock. As AI technology evolves and becomes more mature, it makes sense to also reinvent the way usage is handled by security safeguards. Guardrails for Amazon Bedrock allow security policies to be applied across foundational models, to fulfill [...]

Securing LLMs with Guardrails for Amazon Bedrock2024-01-03T00:32:13+00:00

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