Governance in the AI Era: A New Business Paradigm

Excitement surrounding artificial intelligence (AI) is rapidly growing among businesses of all sizes. During the recent Think EMEA event in London, IBM presented research suggesting that many organizations are not paying enough attention to the risks and challenges associated with AI deployment and scaling. This call for caution is essential in an environment where AI is not only supporting operations but is becoming the business model itself.

## Why it matters This shift in perception of AI means that companies must adopt a more balanced and realistic approach to its implementation. A lack of focus on governance could lead to security and accountability issues, potentially hindering sustainable growth in highly regulated sectors.

## What we know Ana Paula Assis, Senior VP at IBM, emphasizes that AI needs to be viewed as an enabler rather than an obstacle to adoption. For companies to effectively scale their use of AI, it is crucial to establish clear mechanisms of security and responsibility.

## What remains unclear It has not yet been detailed how companies can effectively integrate these governance principles into their daily operations. The specific strategies organizations should follow to balance excitement with the need for governance remain a topic of discussion.