From an analysis of ethical paradoxes based on the inscrutability feature of AI algorithms and resulting from recent advances in this field, this paper emphasizes the pressingness of dedicating research to the potential consequences on societal organization and interactions.With reference to Critical Theory that needs to be recombined with other socio-technical theories, new perspectives on future research is offered and discussed in light of privacy and labor market, their mutual influence as well as limitations.

The aim of the study at hand is to configure and evaluate a GPT-3 chatbot which is resistant to faulty input prompts and sensitive to the emotional setting of a sales dialogue.Design Science Research Methodology by Peffers et al. [46] was applied and evaluated with qualitative interviews in two conditions, that is, short and long language input.Results show that the chatbot was overall able to mimic human-like sales conversations.Some deviant behavior could be observed, especially in the short input condition, revealing more verbiage and insistent questions for purchase by the chatbot.