As artificial intelligence (AI) continues to evolve at an unprecedented pace, global enterprises are struggling to implement effective governance frameworks. According to Kelly Forbes, an AI policy advisor at Qlik, relying solely on human oversight is insufficient to safeguard AI systems from risks such as bias, misinformation, and ethical violations.
The Limitations of Human Oversight in AI Governance
Speaking at Qlik Connect 2025, Forbes emphasized that AI is advancing beyond generative AI into agentic AI, which operates with minimal human intervention. She warned that untrained personnel may struggle to interpret AI decision-making, leading to misalignment in high-risk scenarios.
“For AI governance to be effective, it must go beyond simply keeping a ‘human in the loop.’ Without proper training, human oversight can fail in critical situations,” Forbes stated.
The Need for Smarter AI Safeguards
Forbes highlighted several key areas where AI governance must evolve:
- Corporate-led AI councils to establish best practices and ensure regulatory compliance.
- International AI governance frameworks, such as the EU AI Act, to promote ethical AI deployment.
- Transparent accountability systems to prevent AI hallucinations and misinformation.
Global AI Governance Challenges
Despite AI’s rapid adoption, enterprises face hurdles in scaling AI responsibly. Forbes noted that regional policies vary significantly, making it difficult to implement uniform AI regulations across industries.
“AI governance must be adaptive and agile to keep pace with AI’s evolution,” she added.
Looking Ahead
With investors increasingly scrutinizing AI governance standards, businesses must prioritize ethical AI deployment. As AI becomes more autonomous, corporate-led councils and global regulatory frameworks will play a crucial role in ensuring accountability and transparency.
