With the increasing integration of artificial intelligence (IA) in business operationsariais, AI governance has become a strategic priority. It's not just about legal compliance, but also about ensuring ethics, transparency and accountability in decisions made by AI. In an article published by World Economic Forum. Allan Millington, Global Data Policy Lead at the consultancy EY, offers insights into how to prepare a company for the future of AI by implementing robust governance.
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Millington Highlights 4 Fundamental Skills Needed to Establish Effective Governance
1. Technical Understanding of AI: AI governance leaders must possess deep technical knowledge of AI technologies. This includes the ability to explain complex concepts in a way that is accessible to a non-technical audience.
2. Establishment and Management of Governance Programs: It is essential that governance leaders have leadership and resource management skills to implement effective AI governance programs. This involves ensuring the support of organizational leaders and the appropriate allocation of resources.
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3. Understanding the Organizational Structure: To build effective AI governance, it is crucial to understand the organization's structure and operational processes. This allows for the formation of multidisciplinary teams capable of addressing the complex challenges associated with AI.
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4. Focus on Solutions and Results: In an ever-changing regulatory environment, AI governance leaders must be solutions-oriented. They need to find ways to drive innovation while ensuring compliance with regulations.
According to Millington, investing in the development of these skills is essential to prepare your company for the future of AI. By implementing effective AI governance, companies can maximize the benefits of the technology while mitigating the associated risks.
