Anne Rosken

Pacific Coast University, Canada

Title: Artificial Intelligence in the Workplace Insights from the Perspective of Disability Management with a Focus on Early Intervention and Occupational Rehabilitation

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Biography

Anne Rosken is a professor of Business Administration specializing in Artificial Intelligence & Work, Health & Work, Leadership, Human Resource Management, and Disability Management. She is an expert within the Academic Network of European Disability Experts (ANED) and is affiliated with both the University of St. Gallen and Pacific Coast University in Vancouver, Canada.

Throughout her academic career, Professor Rosken has held senior positions at leading institutions, including serving as a professor at the University of Hamburg and as Director and Professor at Carinthia University of Applied Sciences.

Recognized as a leading authority in the fields of Artificial Intelligence and Work and Health and Work, she combines academic expertise with extensive practical experience. In addition to her research and teaching activities, she works as a senior consultant, executive coach, and author. She brings many years of leadership and management experience gained through national and international organizations, initiatives, and projects.

Abstract

Objectives and Focus of the Study

The objectives are to gain a clearer understanding of capabilities and options on the effectiveness of AI in Disability Management for disabled workers with a focus on early intervention and occupational rehabilitation. 

Methodology

The starting point for the study comprised one overarching question about the dimensions of AI in the workplace. A structured document analyze and semi-structured expert interviews were used. The analyze strategy follows the principles of the method by Mayring. 

Results of the Study

The results from the document analyze show a lot of difficulties and heterogeneous approaches by discussing and talking about AI solutions in the field of Disability Management in the workplace. There is no clear and homogen understanding what is best and what can/should be achieved in this context in present and in future. In this presentation the most important findings, the four main areas, will be presented and how to use AI in the workplace in a respectful way for people with and without disability.

Summary and Conclusion

In summary, it can be said that it is important to have intensive conversations and to carry out education across the entire area. In concrete terms, this means more exchange in each of the different areas and between them. A much more interdisciplinary approach is recommended so that the individual areas learn more from

each other. Clear legal regulations with a flexible approach are crucial. This is immanent because AI and humans learn in an ongoing process. These developments should be incorporated into the design process. Legal regulations must respect this phenomenon and offer good opportunities to rework the paragraphs in line with the running learning approaches from theory and practice. In consequence, regulations must be flexibly adapted to these solutions.