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Governing AI Projects without Killing Innovation

Updated: Apr 3, 2023

Artificial Intelligence (AI) has the potential to revolutionize the way we live and work, but implementing successful AI projects requires careful planning and execution. One critical aspect of this planning is governance. Governance provides a framework for overseeing and managing AI projects, ensuring that they are effective, compliant, responsible, and secured. However, as the saying goes, "too much of a good thing can be bad," and this is also true for governance in AI.

In this blog post, we will explore the delicate balance between too much and too little governance in AI projects. We will discuss how appropriate and lean governance activities can be identified and embedded in AI projects to ensure that they achieve their business objectives.

The Pitfalls of Too Little and Too Much Governance

As mentioned earlier, lack of governance will make AI projects fail. Without adequate oversight, AI models may be biased, non-compliant, or insecure, which can lead to disastrous consequences. However, too much governance can also kill AI projects. Overly restrictive regulations, policies, or processes can stifle innovation and make it difficult to experiment and learn from failures.

Agile and Adaptive Governance

To avoid these pitfalls, governance must be agile and adapted to the context. Governance cannot be applied the same way in all organizations and in all projects. Instead, it should be tailored to the specific needs and constraints of each project. Governance should strike a balance between ensuring compliance and fostering innovation.

Identifying Optimal Governance Activities

To achieve this balance, organizations must identify optimal governance activities that are appropriate for their maturity level. Governance activities can range from developing policies and procedures, to conducting audits and risk assessments, to establishing ethical and social guidelines. Organizations must assess their risk tolerance, the maturity of their AI capabilities, and the complexity of their AI projects to determine which governance activities are most relevant.

Embedding Governance in AI Projects

Once optimal governance activities are identified, they must be embedded in AI projects. Governance should not be an afterthought, but rather an integral part of the project from the beginning. Governance activities should be integrated into the project plan, and stakeholders should be involved in the governance process to ensure that their concerns are addressed.

Prodago Prodago is here to help organization in finding the optimal governance for each organization and each projects initiated within the organization. We are also here to empower teams to implement governance by providing extensive playbook containing operational practices translated from a range of regulations, standards, policies and best practices namely TBS Directives, GDPR ,EU AI Act, DCAM, Bill-25 and many more as well as by providing a platform that provides alignment between multidisciplinary department on practices that should be done to govern projects appropriately. This coming April 19-20, our CEO & Chief Data Strategist, Mario Cantin, would speak more about what it's like to implement optimal governance and how Prodago could help organizations in achieving that goal in the World Summit AI 2023 Conference.

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