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Building Responsible AI with Guardrails AI

Analytics Vidhya

As new LLMs are released, they improve their response generation. However, people are increasingly using ChatGPT and other LLMs, which may provide prompts with personal identifiable information or toxic language.

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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning Blog

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Using responsible AI principles with Amazon Bedrock Batch Inference

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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CMA sets out principles for responsible AI development 

AI News

The Competition and Markets Authority (CMA) has set out its principles to ensure the responsible development and use of foundation models (FMs). FMs are versatile AI systems with the potential to revolutionise various sectors, from information access to healthcare.

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OpenAI enhances AI safety with new red teaming methods

AI News

These contributions aim to strengthen the process and outcomes of red teaming, ultimately leading to safer and more responsible AI implementations. As AI continues to evolve, understanding user experiences and identifying risks such as abuse and misuse are crucial for researchers and developers.

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Using AI technologies for future asset management

AI News

AI’s advantages for fixed asset software AI-driven fixed asset software has numerous advantages for businesses, particularly in sectors where asset management is vital to daily operations, like production, healthcare, and logistics. Real-time market trend information improved decision-making.