Remove AI Chatbots Remove AI Development Remove Explainable AI
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AI Paves a Bright Future for Banking, but Responsible Development Is King

Unite.AI

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

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10 AI dangers and risks and how to manage them

IBM Journey to AI blog

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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AI News Weekly - Issue #400: Fei-Fei Li’s New AI Venture Soars to $1B Valuation - Aug 22nd 2024

AI Weekly

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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