The term Governance of Foundation Models is primarily at home in the fields of Artificial Intelligence, Digital Transformation, and Big Data and Smart Data. Foundation Models are very large artificial intelligence models that can be used for many different tasks, for example, for text or image recognition.
Governance in this context refers to the rules, processes, and controls that companies and organisations use to ensure Foundation Models are used responsibly. This includes, for example, how the data from which the model learns is collected, who is allowed to use these models, or how misuse can be prevented.
A clear example: Imagine a company using a Foundation Model to automatically assess CVs. Without clear governance, biases in the model could lead to unfair decisions. With smart governance, policies are established on how the model is trained, tested, and monitored, ensuring it operates as fairly and transparently as possible.
Governance of Foundation Models is essential for the trustworthy and safe deployment of Artificial Intelligence, both in line with the company's and society's interests.
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