Building an AI governance strategy that works

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As the use of AI becomes more pervasive in industries, becoming as pervasive as electricity and drinking water, the conversation around new technology is starting to shift from how implement AI to how to implement it responsibly. How is AI different from other software technologies we use to build products, and is there a need for new regulations and compliance frameworks?

This conversation has yet to spur most organizations to action. In a recent survey conducted by Wakefield Research and Juniper Networks, 63% of enterprises said they were at least close to meeting their AI adoption goals, but only 9% had fully mature governance policies.

Any organization using or developing AI technology should start focusing more on their AI governance practices. Otherwise, they risk being caught off guard by the AI ​​legislation being developed, while putting their business and customers at risk due to poorly developed AI.

The need for governance

Each new technology raises new questions about proper use and governance, and AI is no exception. However, since AI solutions are designed to perform tasks on par with human domain experts, good governance of tasks that typically require human cognitive reasoning can be particularly challenging.

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For example, AI in self-driving cars could be trusted to make split-second decisions, without human intervention, that have massive implications for the lives of people inside and outside. exterior of the car. Determining how AI should and should not be used, and what safeguards can protect users, viewers, and the maker are important issues that are fundamentally different from previous governance types.

Business leaders, customers, and regulators are also beginning to ask questions about how organizations use AI and data, from how it's developed to how it's managed. If the AI ​​makes decisions based on data, how do you know if the model was trained with data that the trainer had the right to use? How do I know what this data is used for?

Government leaders are already beginning to look to regulation. Proposed AI law in the European Union would have far-reaching implications for how businesses can and should use AI. Even the United States is starting to issue guidelines on the use of AI. In early October, the White House Office of Science and Technology Policy released its long-awaited “Blueprint for an AI Bill of Rights.” These are guidelines that companies can use in the development and deployment of AI systems. Although these are not yet real mandates, companies should be prepared for this to change.

Organizations of all kinds must prioritize governance at the same pace as adoption to protect their business, technology, and customers.

AI governance strategies

Companies need to develop a governance structure designed...