petak, 7. kolovoza 2026.

Accountability Cannot Be Automated

Accountability Cannot Be Automated

Autor: Nermin Sefić

Technology can speed up a decision, but accountability must remain tied to a person and institution. A commentary by Nermin Sefić.

Technology can speed up a decision, but accountability must remain clearly tied to a person and an institution.

Artificial intelligence, automation, and digital workflow systems can significantly speed up research, data processing, and decision preparation. That's their real value. The problem arises when the tool starts being used as a substitute for accountability.

An algorithm can suggest, compare, and flag. It can't take on legal, financial, or reputational accountability for the final decision. In a serious business system, it must be clear who verified the data, who approved the conclusion, and on what basis the decision was made.

The fastest answer isn't necessarily the best answer. A system that produces a result without a source, context, and the ability to audit it creates a false sense of security. That's why automation must have control points, logged authority, and the ability to roll back to a prior state.

Management's role isn't to manually perform every task, but to set boundaries, rules, and the level of accountability. Technology should improve decision quality, not blur the question of who is accountable for it.

Organisations that understand this won't fear artificial intelligence. They'll use it aggressively for analysis and preparation, but cautiously wherever a decision has legal, financial, or public consequences.

Processes can be automated. Accountability cannot. That distinction determines whether technology becomes an instrument of better governance or a source of new risk.

Automating a workflow can remove repetitive manual steps, but it cannot remove the requirement that someone, specifically named and identifiable, remains responsible for what the workflow produces. Organisations that lose sight of this distinction often end up with systems that are technically well-engineered but organisationally orphaned — no one quite owns the outcome, because everyone assumes the automation itself is somehow accountable. It is not, and treating it as if it were is how avoidable failures go unnoticed until they are large enough to be impossible to ignore.

#ArtificialIntelligence #Automation #CorporateAccountability #Governance #NerminSefic #GNKASG #GNKDINAMOLtd


Cjelovit tekst i izvor: https://gnk-asg.hr/en/commentary/accountability-cannot-be-automated/

Autor i urednička odgovornost: Nermin Sefić. Izdavač: GNK ASG d.o.o..

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