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IBM announced that watsonx.governance will be generally available in early December to help businesses shine a light on AI models and eliminate the mystery around the data going in, and the answers coming out. While generative AI, powered by Large Language Models (LLM) or Foundation...
Exciting to see IBM acclaimed as a leader in the AI Governance Platform space. "This IDC study represents a vendor assessment of the AI governance platforms market through the IDC MarketScape model. This assessment discusses both quantitative and qualitative characteristics that provide...
In this case study, Gartner® discusses how to establish a governance framework to streamline the process of detecting and managing technology ethics concerns in AI projects. IBM has publicly defined its multidisciplinary, multidimensional approach to AI ethics, built upon principles for trust...
Watsonx.governance is here and waiting for you to try it out! Check out these videos to see watsonx.governance in action. Find tutorials and videos in the documentation .
In his recent LinkedIn post , IBM watsonx Director, Armand Ruiz, provides information about IBM's highly curated large-language-model (LLM), called Granite.13B. This LLM differs from others that may include false information or hate speech and profanity (HAP) as it has been governed and...
A recent IBM blog post outlines best practices for augmenting human intelligence with AI. Put simply: Use AI to augment human intelligence, rather than operating independently of, or replacing it. In a human-AI interaction, notify individuals that they are interacting with an AI...
While we may not know which regulations or advancements in AI are around the corner, we can still get ahead and prepare our organizations for what's to come. What do I mean by this? Implementing an organizational standard and method by which you can ensure a new model meets and exceeds a...
In this video, Kush Varshney, IBM Distinguished Research Scientist and Senior Manager, IBM Research, explains what is AI Governance and why is it important, he then explores the different levels of risk between Large Language Models (LLMs) and traditional machine learning, and the final point he...
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