Styr AI-agenter som om de vore anställda – men låtsas inte att de är människor

IT leaders are increasingly turning to human resource management concepts when implementing AI agents, using practices like onboarding, performance evaluation, and graduated authority rather than treating them like traditional software. However, experts warn against going too far by pretending these agents are actual humans with judgment and responsibility.

While treating AI like a team member can help managers establish necessary structure, rules, and technical identities, giving agents human names or placing them on organizational charts creates serious risks. Studies show that viewing AI as a colleague leads managers to take less personal responsibility, escalate more issues, and catch fewer errors due to over-reliance on the technology.

An AI agent is fundamentally probabilistic software that interprets goals and chooses actions, meaning it cannot possess organizational culture, values, or genuine accountability. Instead of assigning human identities, companies should grant agents technical credentials, defined boundaries, and strict oversight while keeping human owners fully responsible for all outcomes. This approach allows organizations to safely manage agent autonomy, scaling their access and responsibilities over time based on proven performance without blurring the line between software and human workers.