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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.

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EU introduces draft regulatory guidance for AI models

AI News

The release of the “First Draft General-Purpose AI Code of Practice” marks the EU’s effort to create comprehensive regulatory guidance for general-purpose AI models. By acknowledging the continuously evolving nature of AI technology, the draft recognises that this taxonomy will need updates to remain relevant.

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Google Unveils Gemma: A New Era of Open-Source AI Models

Analytics Vidhya

Google has announced the launch of Gemma, a groundbreaking addition to its array of AI models. Developed with the aim of fostering responsible AI development, Gemma stands as a testament to Google’s commitment to making AI accessible to all.

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This AI Paper from OpenAI Introduces the GPT-4o System Card: A Framework for Safe and Responsible AI Development

Marktechpost

Multimodal models are designed to make human-computer interaction more intuitive and natural, enabling machines to understand and respond to human inputs in ways that closely mirror human communication. One of the main challenges in AI development is ensuring these powerful models’ safe and ethical use.

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The Essential Tools for ML Evaluation and Responsible AI

ODSC - Open Data Science

As AI systems become increasingly embedded in critical decision-making processes and in domains that are governed by a web of complex regulatory requirements, the need for responsible AI practices has never been more urgent. But let’s first take a look at some of the tools for ML evaluation that are popular for responsible AI.

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Don’t pause AI development, prioritize ethics instead

IBM Journey to AI blog

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. We don’t need a pause to prioritize responsible AI. The stakes are simply too high, and our society deserves nothing less.

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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.