AI Governance: What Boards Need to Consider
As artificial intelligence (AI) dramatically increases an organisation’s operational tempo, it raises essential questions regarding governance practices. During the ICAEW’s Corporate Governance conference, the significance of AI governance was emphasized, highlighting the urgent need for boards to establish a strategic focus on this technology.
The Connection Between AI Use and Company Purpose
There exists a direct link between a company’s purpose and its use of AI. Boards must set the strategic tone not only to comply with regulations such as the EU AI Act but also to ensure that their applications of AI are ethically sound. The challenge lies in navigating the dual responsibilities of legal compliance and maintaining ethical comfort among employees and stakeholders.
Despite the rapid advancements in AI, tools are still susceptible to bias and hallucinations. Some applications present high risks, and AI’s nature can change over time, leading to potential issues like drift, where a tool’s rationale may deviate from its original design.
Board Engagement with AI
Industry leaders emphasize the need for boards to actively engage with AI technologies. Traditionally, the perception has been that AI falls under the purview of IT departments. However, this narrow view hinders progress and creates a culture of fear.
Pauline Norstrom, CEO of Anekanta AI, warns that excessive caution can prevent employees from experimenting with beneficial AI tools. She suggests that a better understanding of these technologies will alleviate fears and encourage responsible usage.
Tuomas Syrjainen, Co-founder of Futurice, urges board members to not only seek opinions about AI but to actively use the tools themselves. This hands-on approach fosters a better understanding of AI’s capabilities and encourages collaborative discussions about its applications in business.
The Importance of AI Literacy
AI literacy training is a foundational element of effective governance. Under the EU AI Act, this training becomes a legal requirement, highlighting its critical importance. Knowledge about datasets and model training enables professionals to evaluate AI outputs critically, ensuring alignment with their expectations.
Ethical Considerations: Sustainability and EDI
Amid discussions on AI governance, key ethical issues arise, such as the impact on job roles and sustainability. With the potential replacement of traditional roles by AI, there is a pressing need for professionals to adapt and evolve their identities into system builders who continuously improve AI solutions.
Furthermore, sustainability risks associated with AI usage, particularly its energy consumption, must be addressed. Companies should differentiate between tasks requiring deep reasoning versus those manageable with simpler queries, thereby reducing unnecessary energy usage.
On the topic of equality, diversity, and inclusion (EDI), Norstrom highlights the necessity for diverse perspectives in board decisions regarding AI governance. Current board compositions often reflect a single demographic, leading to skewed data interpretation and insights.
Guidance for AI Governance
Numerous standards and guidelines exist to assist boards in navigating AI governance. Resources such as ISO 42001 and the EU AI Act serve as valuable references for developing effective policies, risk management strategies, and AI inventories.
In summary, as AI technologies continue to evolve, the role of governance becomes increasingly crucial. Boards must embrace AI, fostering a culture of understanding and responsible usage to harness its full potential while mitigating ethical risks.
