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34

How to detect and reduce bias in AI systems

Bias is a major cause of unfair and discriminatory decisions in the use of AI systems. For example, well-paid job offers were algorithmically placed almost exclusively with male users [1]. Using an awareness-raising framework to raise awareness among developers and users, the goal is to identify and reduce bias. The framework has been successfully validated […]

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Applied NLP Technologies for Physical and Mental Health

The Applied Machine Intelligence research group from BFH-TI has organized a track with the topic of natural language processing for physical and mental health at the Applied Machine Learning Days 2022 in Lausanne. This is one of the largest machine learning & AI event in Europe, focused specifically on the applications of machine learning and AI. […]

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Robo-Advisor, Robot Lawyer, and Healthbot – Barriers and Solution Strategies for the Acceptance of AI Advisors

AI-based consulting services are all the rage in the service sector. If we look at the evolution of AI-based applications, relatively simple AI solutions initially took hold and tended to take on supporting roles along various interfaces. AI supported highly standardised and repetitive tasks, e.g. the AI-based product advisor at Vaude, or AI-based support functions […]