Securing AI in the Age of Cyberthreats: Practical Considerations for Boards
Artificial intelligence (AI) and machine learning have been integral technologies for several decades, but the recent emergence of ChatGPT has thrust the topic into the spotlight. This has sparked discussions and debates, particularly regarding the crucial aspect of cybersecurity.
Enterprises need to prioritize AI security and protection, which goes beyond safeguarding against cyberattacks and data breaches. It extends to defending AI data from discrimination, bias, manipulation, and privacy violations, as it is the data that fuels AI decisions.
Within established organizations, board members and key executives bear the responsibility of setting the direction for policies and processes that ensure the secure adoption and long-term success of AI and related technologies. However, for board members who may not have extensive technical knowledge, creating a secure foundation for such a rapidly evolving technology can be challenging. Here are five practical considerations that can assist:
1. Understand Technology, Strategy, and Risk: Board members may struggle with technology aspects, but they can grasp the strategic and risk elements. Before charting an AI strategy, it is crucial to thoroughly comprehend its potential, existing usage within the organization, and the upcoming security challenges and threats.
2. Evaluate Strategic Implications: Once board members have a better understanding of risks and opportunities, they need to consider the strategic implications of using AI products or services. This involves determining the true intention or end goal behind AI adoption, understanding its impact on existing processes, identifying business benefits, and assessing its implications for employees, customers, and stakeholders.
3. Navigate the Changing Ethical Landscape: With AI’s rapid advancement, it is essential not to overlook the evolving legal, regulatory, privacy, and ethical landscape. Regulations, such as the proposed EU AI Act and executive orders promoting safe and trustworthy AI, signal increased scrutiny of AI providers by regulators and lawmakers. Boards should anticipate greater demand for oversight and consider seeking assistance from industry experts to navigate the complex field of regulations and compliance.
4. Establish an AI Governance Framework: Working closely with security leadership, the board must establish a governance framework that aligns with corporate strategy and addresses identified risks and compliance requirements. This can involve appointing an AI committee comprising cross-functional leaders who can oversee policy development and accountability structures, ensuring confidentiality, integrity, and fairness in AI models, as well as managing and reporting AI risks.
5. Prioritize Fairness, Transparency, and Privacy: Fairness, transparency, accountability, privacy, and security are critical ethical concerns surrounding AI. To ensure these principles are being considered throughout the AI development lifecycle, boards should adopt practices such as appointing diverse and inclusive ethics teams, conducting regular ethical risk assessments, implementing bias detection mechanisms, and introducing processes to prevent discrimination. Informed consent and human oversight should also be integral components to enhance the safety and accuracy of AI systems.
As AI continues to evolve, it significantly expands the current threat surface. Therefore, it is imperative to establish a robust governance framework, along with transparent and ethical policies, to support successful AI deployment and long-term resilience. Boards play a central role in shaping AI policies, processes, and addressing cybersecurity concerns. By adhering to these practical considerations, organizations can navigate the complex landscape of AI security while harnessing its potential.
