AI in the Workplace: Who is Responsible for Errors in Finland's Financial Sector?
Translated from Finnish, summarized and contextualized by DistantNews.
TLDR
- Financial sector chief shop stewards are concerned about who bears responsibility when artificial intelligence provides incorrect information.
- There is no established legal practice for AI-related errors, and employee training is often only in English, creating a burden of continuous learning.
- While AI adoption is increasing, with some companies experimenting with AI-only teams, the focus is on clarifying accountability for AI-generated mistakes in customer interactions.
The rapid integration of artificial intelligence into the financial sector presents a complex challenge, particularly concerning accountability for AI-generated errors. As chief shop stewards from OP Pohjola, Nordea, and Lรคhitapiola highlight, the lack of established legal precedent for AI mistakes leaves both employees and employers in a precarious position. When an AI 'hallucinates' and provides incorrect information to a bank customer, determining who is liable โ the employee who trusted the system or the employer โ remains an open question.
If artificial intelligence hallucinates and gives incorrect information to the customer, who is responsible for it? The employee who trusted the system? Or the employer? There is no established legal practice for this yet.
This uncertainty is compounded by the fact that much of the essential, nuanced knowledge required in the financial industry is learned through on-the-job experience, not formal schooling. Experienced professionals can often spot AI errors, but newer employees may not possess this critical judgment. The reliance on AI, even with its potential for efficiency, risks undermining the human element of expertise that is crucial in a sector dealing with complex, specialized information.
You cannot learn on the job what we do in school. It has to be learned on the spot.
Furthermore, the issue of training accessibility is a significant concern. With many AI-related training programs conducted exclusively in English, employees who are not fluent may be at a disadvantage. This not only creates a barrier to understanding and utilizing AI tools effectively but also adds to the already growing burden of continuous learning that many workers face. The financial industry, while embracing AI for automation, must address these critical issues of responsibility, practical expertise, and equitable access to training to ensure a smooth and fair transition.
At some point, there will surely be a precedent.
Originally published by Helsingin Sanomat in Finnish. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.