Leadership Cannot Outsource the Burden of Explanation

A staff member sits across from a learner, employee, citizen, client or congregant and delivers a decision influenced by artificial intelligence. The person affected asks a reasonable question: Why? The staff member did not design the system, cannot inspect its reasoning and may have no authority to change its conclusion. Yet the institution expects that person to preserve trust, absorb frustration and defend the result.

This is not only a technology problem. It is a leadership design failure.

Leadership cannot transfer the public burden of explanation downward while keeping decision authority, procurement choices and system knowledge at the top. If an institution chooses the tool, defines its use and benefits from its efficiency, the institution must also own the duty to explain, review and correct what the tool helps it decide.

A Harvard Business Review article published on 22 July draws on a multi-year comparative field study of professionals facing AI-generated decisions. The researchers found that employees did not simply repeat the outputs. They masked, amplified or complemented them as they tried to maintain credibility with clients and other audiences. The deeper peer-reviewed study, published in the Journal of Management Studies, examines how experts enact authority when they remain responsible for presenting decisions they can no longer overrule.

The finding should concern every leader introducing AI into admissions, assessment, recruitment, lending, health, public administration, performance…