With the ever increasing reliance on artificial systems to automate the decision process of smart systems that have the potential to affect our daily lives, the question of how to attribute liability is becoming more and more relevant, especially when human control over technical systems is increasingly reduced. This study aims to provide an overview on algorithmic impact assessment for socio-Technical systems, with a focus on the challenges for its adoption by small and medium enterprises.
CITATION STYLE
Mbuy, S. P., & Ortolani, M. (2022). Algorithmic Impact Assessment for an Ethical Use of AI in SMEs. In 35th British HCI Conference Towards a Human-Centred Digital Society, HCI 2022. BCS Learning and Development Ltd. https://doi.org/10.14236/ewic/HCI2022.34
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