Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/231773 
Year of Publication: 
2021
Series/Report no.: 
IUBH Discussion Papers - Sozialwissenschaften No. 2/2021
Publisher: 
IUBH Internationale Hochschule, Bad Honnef
Abstract (Translated): 
Especially in mediation as an out-of-court conflict mediation procedure, maintaining the basic attitude on the part of a neutral, third party is a core aspect and at the same time a neuralgic point. The ability to maintain impartiality and neutrality as anideal in a mediation role is central and determines success and failure. Often in conflicts there are a number of people-based problems that focus on mediators as individuals. Thus, phenomena of assessment can emerge, with unconscious bias on the part of conflict parties who experience disadvantage and prejudice. This can be associated with a gender-specific or gender-sensitive component. The question of the extent to which the mediator can be socially supported in conflict management through social human-machine interaction with artificial intelligence (AI) and human-machine collaboration (HMC) is a novelty. There is also the question of whether problems with impartiality and neutrality can be solved by gender-neutral robots as assistance with social human-machine interaction. The innovation of learning systems needs acceptance despite murmuring criticism of it. Insights from AI studies show that AI will revolutionizethe way people decide, work, learn, communicate, consume and live. This is no longer a science fiction dream.The Future is Now!
Subjects: 
Mediation
Allparteilichkeit
Neutralität
Geschlechterdifferenzen
Künstliche Intelligenz
Soziale Arbeit
Document Type: 
Working Paper

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