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

IBM Journey to AI blog

It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. But how trustworthy is that training data? They pointed out that the topic of training data, including its source and composition, is often overlooked.

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

Unite.AI

Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Models like DALL-E 3, Stable Diffusion and ChatGPT have demonstrated new creative capabilities, but also raised concerns around ethics, biases and misuse.

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Using AI for Predictive Analytics in Aviation Safety

Aiiot Talk

Black-box AI poses a serious concern in the aviation industry. In fact, explainability is a top priority laid out in the European Union Aviation Safety Administration’s first-ever AI roadmap. Explainable AI, sometimes called white-box AI, is designed to have high transparency so logic processes are accessible.

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What Is Trustworthy AI?

NVIDIA

Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

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AI’s Opaque Box Is Actually a Supply Chain

Flipboard

Understanding AI’s mysterious “opaque box” is paramount to creating explainable AI. This can be simplified by considering that AI, like all other technology, has a supply chain. These are the mathematical formulas written to simulate functions of the brain, which underlie the AI programming.

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Introducing the Topic Tracks for ODSC East 2025: Spotlight on Gen AI, AI Agents, LLMs, & More

ODSC - Open Data Science

Whether you want to master generative AI, deploy AI agents, or streamline your machine learning pipelines with MLOps, ODSC East 2025 has something foryou. This track will help you go beyond the hype to develop hands-on skills in building and deploying generative AI models in your organization.

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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.