Unite.AI

JANUARY 1, 2025

AI serves as the catalyst for innovation in banking by simplifying this sectors complex processes while improving efficiency, accuracy, and personalization. AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation.

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Explainable AI AI AI Natural Language Processing 138

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. Generative AI chatbots have been known to insult customers and make up facts. But how trustworthy is that training data?

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Metadata Explainability Automation Explainable AI 220

IBM Journey to AI blog

SEPTEMBER 3, 2024

These systems inadvertently learn biases that might be present in the training data and exhibited in the machine learning (ML) algorithms and deep learning models that underpin AI development. Those learned biases might be perpetuated during the deployment of AI, resulting in skewed outcomes.

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Explainability AI AI Deep Learning 215

AI Weekly

AUGUST 22, 2024

wired.com A new ‘AI scientist’ can write science papers without any human input. theconversation.com AI Predicts Earthquakes With Unprecedented Accuracy Researchers at the University of Texas have developed an AI that predicted 70% of earthquakes during a trial in China, indicating potential for future quake risk mitigation.

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Robotics Artificial Intelligence Artificial Intelligence Large Language Models 261