top of page

Governance by Design: The Framework

The rise of Artificial Intelligence (AI) has been nothing short of meteoric. This responsibility is encapsulated in the concept of 'Governance by Design.' Here, we outline a robust governance-first approach for ethically and effectively employing AI.

1. Redefine Success and Measurement

The first step in the Governance by Design approach is redefining the traditional Key Performance Indicators (KPIs). AI success cannot be solely gauged by revenue generation or efficiency gains. Instead, consider factors like fairness, transparency, and the ethical use of data.

2. Foster a Cross-functional Team

In traditional setups, the Chief Data Officer (CDO) or equivalent might be the sole individual responsible for AI compliance. Governance by Design requires a shift towards a cross-functional team, incorporating insights and perspectives from different areas of the organization.

3. Customized Risk Management Frameworks

Risk management is not a one-size-fits-all scenario. The Governance by Design approach advocates for the development of tailored AI risk management frameworks. These should take into account the specific needs and challenges of your organization and the unique aspects of the AI systems you employ.

4. Consider the Entire Value Chain

AI governance isn't just about your organization. It extends to your entire AI value chain, including collaborations with partners and third-party providers. Governance by Design encourages you to consider this whole chain when designing and implementing governance structures.

5. Cultivate a Culture of Responsible AI

Fostering a culture of responsible AI is an integral part of Governance by Design. This involves ensuring your organization has the necessary skills and knowledge to uphold ethical AI standards. But it's not just about the technical side of things - diversity in geography, backgrounds, and 'lived experiences' is equally crucial.

Moving Forward with Governance by Design

The Governance by Design approach offers a comprehensive framework for integrating robust governance into AI. It is not a one-off task but a continuous process requiring ongoing oversight and regular reassessments.

By putting governance at the forefront of AI initiatives, organizations can ensure that their use of this powerful technology is not only effective but also ethical and fair. After all, in the world of AI, it's not just about what you build, but how you build it.


bottom of page