Artificial intelligence (AI) solutions can offer significant benefits to an organization, such as improved efficiency, accuracy, and innovation. However, AI also poses new challenges and risks that need to be considered and addressed by senior management. Some of these risks include:
Ethical and social risks: AI solutions may have unintended or undesirable impacts on human values, rights, and behaviors, such as privacy, fairness, accountability, and transparency. For example, AI systems may exhibit bias, discrimination, or manipulation, or may infringe on personal data or autonomy.
Technical and operational risks: AI solutions may have vulnerabilities, errors, or failures that affect their performance, reliability, or security. For example, AI systems may be subject to hacking, tampering, or misuse, or may malfunction or produce inaccurate or harmful outcomes.
Legal and regulatory risks: AI solutions may have unclear or conflicting legal or regulatory implications or obligations, such as liability, compliance, or governance. For example, AI systems may raise questions about ownership, responsibility, or accountability, or may violate existing laws or regulations, or create new ones.
Therefore, a risk practitioner should communicate to senior management that AI potentially introduces new types of risk that need to be identified, assessed, and managed in alignment with the organization’s objectives, values, and risk appetite. References = ISACA CRISC Review Manual, 7th Edition, Chapter 3, Section 3.2.2, page 113.
