IBM Journey to AI blog

OCTOBER 16, 2023

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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Metadata Explainability Automation Explainable AI 220

Unite.AI

JANUARY 12, 2024

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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Generative AI Neural Network ChatGPT OpenAI 189

Aiiot Talk

JULY 7, 2023

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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Black Box AI Algorithm Explainability Explainable AI 130

NVIDIA

MARCH 1, 2024

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 AI Algorithm Artificial Intelligence 130

Flipboard

JUNE 20, 2023

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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AI Modeling Explainability Algorithm Machine Learning 142

ODSC - Open Data Science

FEBRUARY 25, 2025

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.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

AI News

APRIL 25, 2024

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.

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