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OpenAI enhances AI safety with new red teaming methods

AI News

Since then, OpenAI has expanded and refined its methodologies, incorporating automated and mixed approaches for a more comprehensive risk assessment. “We are optimistic that we can use more powerful AI to scale the discovery of model mistakes,” OpenAI stated. Despite its benefits, red teaming does have limitations.

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Responsible AI is a competitive advantage

IBM Journey to AI blog

This cultivates a broader and more diverse pool of perspectives that contribute to the development of responsible AI models. The IBM AI Ethics Board highlights the opportunities for responsible AI The IBM AI Ethics Board recognizes the opportunities presented by AI while also establishing safeguards to mitigate against misuse.

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Want to be a hybrid cloud winner? The recipe for XaaS success

IBM Journey to AI blog

Welcome to a new era—where the infusion of AI into every facet of operations is not just an option, but a necessity. Successful hybrid cloud strategies require a unified control and management plane, enabling automated deployment of applications across various environments, comprehensive observability and improved cyber resiliency.

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Minding Your Models

DataRobot Blog

Future Models. Automated machine learning (AutoML) tools make building hundreds of models almost as easy as building only one. Aimed at citizen data scientists, these tools are expected to dramatically increase the number of models that organizations put into future production and need to continuously monitor.

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Embedding secure generative AI in mission-critical public safety applications

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Mark43 , a public safety technology company, recognized this challenge and embedded generative artificial intelligence (AI) capabilities into their application using Amazon Q Business to transform how law enforcement agencies interact with their mission-critical applications. Ritesh Shah is a Senior Generative AI Specialist at AWS.