IBM announced the upcoming general availability of watsonx.governance in early December.

This tool aims to address the challenges associated with generative artificial intelligence that is powered by large language models (LLMs), or model-based. While such AI models offer a variety of business use cases, they also bring risks and complexities, such as using untested training data and generating results that are not explainable, IBM explained.

Watsonx.governance is designed to help organizations manage these risks, increase transparency and prepare for compliance with future regulations targeting AI.

“Company boards and CEOs are looking to reap the rewards from today’s more powerful AI models, but the risks due to a lack of transparency and inability to govern these models have been holding them back,” said Kareem Yusuf, Ph.D, senior vice president of product management and growth at IBM Software.

“Watsonx.governance is a one-stop-shop for businesses that are struggling to deploy and manage both LLM and ML models, giving businesses the tools, they need to automate AI governance processes, monitor their models, and take corrective action, all with increased visibility. Its ability to translate regulations into enforceable policies will only become more essential for enterprises as new AI regulation takes hold worldwide”, he added.

IBM Consulting has expanded its strategic capacities to support clients in the responsible expansion of AI. This encompasses automated model governance and organizational governance that spans people, processes, and technology.

IBM consultants are adept at establishing AI ethics boards, influencing organizational culture, delivering training, overseeing regulations and risks, and tackling cybersecurity threats, all with a focus on human-centric design. Watsonx.governance is integrated into the IBM Watsonx AI and data platform, featuring AI assistants, the enterprise studio, and the governed data store. Furthermore, IBM has implemented intellectual property protection for its watsonx models.

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