Session

Balancing Efficiency and Ethics in AI: The Pitfalls of Replacing Boring Work.

Our aging population is creating a demand for change in our labor market, putting additional strain on our economic structure. This pressing issue necessitates solutions for efficiency and sustainable long-term strategies to address the demographic imbalances. One way to achieve this efficiency gain is by utilizing Artificial Intelligence (AI)

AI, particularly Generative AI, is changing how we do our jobs. The first parts of our job that will be affected by this change are the repetitive or so-called "boring" tasks. However, what is considered a monotonous task to some might be enjoyable to others, leading to discussions on which tasks should and should not be automated away. But how do we traverse the landscape of AI, reallocating tasks while keeping employee preferences in mind? What questions must be asked to transition smoothly into an AI-assisted labor force? How do we balance efficiency gains and our love for how we do our jobs now? How is the current AI technical revolution different from previous technological revolutions?

We will answer these questions based on our experience implementing AI for different companies and a case study by the authors in which the organization could not adopt an AI application when it was implemented.

Elise Lems

Data scientist at Info Support

Nijmegen, The Netherlands

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