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Digital and Circular Industrial Services

Digitalisation of Future Energy

EBITech

Education and teaching in preschool, compulsory school and school-age educare

Information Design

Innovationsledning

Model-Based Engineering of Embedded Systems

NOMP-group – New Organisation and Management Practices

Product and Production Development

Safety-Critical Engineering

Sociology

Software Testing Laboratory

Transformative Management

Value-Driven Innovation and Foresight

Automation or augmentation: How are white-collar workers affected by automating technologies in the financial sector (DigiFin)

The aim of the project is to understand which automating technologies, such as AI and algorithmic technologies, are used in the financial sector, and how they affect the work envrionment of white-collar workers.

Funding in SEK: 3, 4 million

Project manager at MDU

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The aim of the project is to understand which automating technologies, such as AI and algorithmic technologies, are used in the financial sector, and how they affect the work envrionment of white-collar workers. The project is specifically focused on understanding whether such technologies are introduced with the aim to replace/automate work or to augment it.

External project members:
Gisela Bäcklander, Karolinska Institutet (KI)


Aim och project goal

The aim of the project is to understand which automating technologies, such as AI and algorithmic technologies, are used in the financial sector, and how they affect the work envrionment of white-collar workers. The project is specifically focused on understanding whether such technologies are introduced with the aim to replace/automate work or to augment it.

Goal with the project:

  1. To understand the use of automating technologies in the financial sector.

  2. To understand the implications such technologies have on the work environment of white-collar workers.

  3. To produce applicable guidelines for stakeholders.