‘Like drinking from a firehose’ – what it’s like to be the human in the AI loop

2026-05-27 · Source: Artificial intelligence (AI) – The Conversation · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Human Resources & Workforce Development · Depth: Intermediate, short

Summary

The implementation of generative AI (GenAI) tools, while promising efficiency and cost savings, presents significant challenges for human oversight. Despite utopian visions of AI freeing up human workers, organizations are legally and reputationally obligated to maintain a "human in the loop" responsible for reviewing and approving GenAI outputs. This role, however, often leads to an unexpected shift in workload, with human reviewers now spending over 80% of the effort to rectify errors, remove hallucinations, and ensure accountability for content rapidly generated by AI. This increased volume and pressure can result in bottlenecks, the creation of "workslop," and burnout among domain experts, potentially compromising quality and creating a future shortage of skilled reviewers.

Key takeaway

For Directors of AI/ML or consultants implementing GenAI, recognize that simply having a "human in the loop" is insufficient. Your strategy must proactively design, budget for, and support expert human reviewers to prevent burnout and ensure accountability. Failing to properly resource this oversight will lead to "workslop," compromised quality, and potential legal or reputational risks, undermining the very efficiencies GenAI promises. Prioritize robust human review processes.

Key insights

Human oversight in GenAI is critical for accountability but creates significant workload and burnout for expert reviewers.

Principles

• GenAI tools are property, not persons; humans bear accountability.
• Successful GenAI shifts workload to expert reviewers.
• Quality human oversight needs design, budget, and organizational support.

In practice

• Reviewers must rectify errors and remove hallucinations.
• Organizations must design and budget for human oversight.
• Support expert reviewers to prevent burnout and turnover.

Topics

• Generative AI
• Human-in-the-Loop
• AI Accountability
• Workload Management
• Expert Reviewers
• Organizational Burnout

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, Consultant, HR Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial intelligence (AI) – The Conversation.