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Anne Henriksen

PhD Student

Anne Henriksen

 

AI intelligent systems, knowledge, and trustworthy partnerships

Intelligent systems have long been discussed as a possible application of Artificial Intelligence (AI) to augment, supplement, or substitute for human knowledge and the brain. With the recent years’ technological advancement of computing power and Machine Learning and the growth of Big Data, such applications are in earnest becoming a reality through AI models. We see increasingly more examples of systems deployed in various work processes to assist or drive for instance employment of the most ‘right’ employee, facilitation of the most ‘right’ student learning, or provision of the most ‘right’ patient treatment.

 

How are intelligent systems designed to contribute with reliable knowledge in order to decide such matters which often not are clear-cut right or wrong in the specific context or across competing knowledge communities and paradigms? What kind of partnership and delegation of competency and knowledge are thus created in the human-machine collaboration produced? And what are the possible pitfalls to be avoided when optimizing work practices through data and AI produced probabilistic knowledge?

 

This PhD project examines these questions critically and sociotechnically through a deep dive into specific cases, and considers what and how AI adds to existing knowledge production and decision making in (knowledge intensive) work practices, and whether this will affect for example knowledge and skills in organizations, fields, and society.

 

The project contributes to the existing research literature on sociotechnical systems in work, organizations, and society by producing new knowledge of the development and application of artificial intelligent systems and data driven digitization The project contributes to the existing research literature on sociotechnical systems in work, organizations, and society by producing new knowledge of the development and application of artificial intelligent assistants and data driven digitization as well as new understandings of human-computer collaboration and knowlegde production with AI.

 

Funding partners: Faculty of ARTS, Aarhus University

Supervisors: Anja Bechmann & Finn Olesen

 

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