Unite.AI

AUGUST 25, 2023

One of the most significant issues highlighted is how the definition of responsible AI is always shifting, as societal values often do not remain consistent over time. Can focusing on Explainable AI (XAI) ever address this? You can't really reengineer the design logic from the source code.

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IBM Journey to AI blog

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. “Foundation models make deploying AI significantly more scalable, affordable and efficient.” Foundation models offer a breakthrough in AI capabilities to enable scalable and efficient deployment across various domains.

Metadata 220

Metadata Explainability Automation Explainable AI 220

NVIDIA

MARCH 1, 2024

Transparency in AI is a set of best practices, tools and design principles that helps users and other stakeholders understand how an AI model was trained and how it works. Explainable AI , or XAI, is a subset of transparency covering tools that inform stakeholders how an AI model makes certain predictions and decisions.

AI 134

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Pickl AI

FEBRUARY 17, 2025

AlphaGo) and robotics. Approximately 44% of organisations express concerns about transparency in AI adoption. The “black box” nature of many algorithms makes it difficult for stakeholders to understand how decisions are made, leading to reduced trust in AI systems. Notable applications include game playing (e.g.,

Machine Learning 52

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Pickl AI

JULY 14, 2023

Reinforcement Learning and Robotics (2010s-2020s): Reinforcement Learning (RL) gained traction, focusing on training AI agents to make sequential decisions based on rewards and punishments. Researchers began addressing the need for Explainable AI (XAI) to make AI systems more understandable and interpretable.

Neural Network 52

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ODSC - Open Data Science

FEBRUARY 18, 2025

Computer VisionAI agents in autonomous robotics interpret visual data to navigate complex environments, such as self-driving cars. Recent breakthroughs include OpenAIs GPT models, Google DeepMinds AlphaFold for protein folding, and AI-powered robotic assistants in industrial automation.

Explainability 59

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ODSC - Open Data Science

FEBRUARY 25, 2025

This track brings together industry pioneers and leading researchers to showcase the breakthroughs shaping tomorrows AI landscape. Responsible AI TrackBuild Ethical, Fair, and SafeAI As AI systems become more powerful, ensuring their responsible development is more critical than ever.

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