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Igor Jablokov, Pryon: Building a responsible AI future

AI News

Pryon also emphasises explainable AI and verifiable attribution of knowledge sources. Ensuring responsible AI development Jablokov strongly advocates for new regulatory frameworks to ensure responsible AI development and deployment. “We’re not a clown college.

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The Evolving Landscape of Generative AI: A Survey of Mixture of Experts, Multimodality, and the Quest for AGI

Unite.AI

Rumored projects like OpenAI's Q* hint at combining conversational AI with reinforcement learning. Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. Enhancing user trust via explainable AI also remains vital.

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The most important AI trends in 2024

IBM Journey to AI blog

They make AI more explainable: the larger the model, the more difficult it is to pinpoint how and where it makes important decisions. Explainable AI is essential to understanding, improving and trusting the output of AI systems.

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