Remove Explainability Remove Explainable AI Remove Metadata
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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

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Bring light to the black box

IBM Journey to AI blog

Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models. Consistent principles guiding the design, development, deployment and monitoring of models are critical in driving responsible, transparent and explainable AI.

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

IBM Journey to AI blog

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. ” Are foundation models trustworthy? . ” Are foundation models trustworthy?

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How to responsibly scale business-ready generative AI

IBM Journey to AI blog

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is watsonx.governance?

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A look into IBM’s AI ethics governance framework

IBM Journey to AI blog

IBM watsonx.governance ™, a component of the watsonx™ platform that will be available on December 5 th , helps organizations monitor and govern the entire AI lifecycle. It helps accelerate responsible, transparent and explainable AI workflows.

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US Open heralds new era of fan engagement with watsonx and generative AI

IBM Journey to AI blog

That’s why the US Open will also use watsonx.governance to direct, manage and monitor its AI activities. Using watsonx to provide wide-ranging Match Insights The US Open also relies on watsonx to provide Match Insights, an engaging variety of tennis statistics and predictions delivered through the US Open app and website.

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Preparing for the EU AI Act: Getting governance right

IBM Journey to AI blog

In addition, stakeholders from corporate boards to consumers are prioritizing trust, transparency, fairness and accountability when it comes to AI. Risk management – preset risk thresholds, and proactively detect and mitigate AI model risks. Monitor for fairness, drift, bias and new generative AI metrics.