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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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Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

Flipboard

It facilitates real-time data synchronization and updates by using GraphQL APIs, providing seamless and responsive user experiences. Efficient metadata storage with Amazon DynamoDB – To support quick and efficient data retrieval, document metadata is stored in Amazon DynamoDB.

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AI governance is rapidly evolving — Here’s how government agencies must prepare

IBM Journey to AI blog

Moreover, the OECD places legally enforceable AI regulations and standards in a separate category from the initiatives mentioned earlier, in which it lists an additional 337 initiatives. For example, New York City published its own AI Action plan in October 2023, and formalized its AI principles in March 2024.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Monitor, catalog and govern models from anywhere across your AI’s lifecycle.

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Google DeepMind Open-Sources SynthID for AI Content Watermarking

Marktechpost

AI-generated content is advancing rapidly, creating both opportunities and challenges. As generative AI tools become mainstream, the blending of human and AI-generated text raises concerns about authenticity, authorship, and misinformation.

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How Multi-Agent LLMs Can Enable AI Models to More Effectively Solve Complex Tasks

Unite.AI

AI is not ready to replicate human-like experiences due to the complexity of testing free-flow conversation against, for example, responsible AI concerns. Additionally, organizations must address security concerns and promote responsible AI (RAI) practices.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support.