Framework for the application of explainable artificial intelligence techniques in the service of democracy
Marta Sofia Marques da Encarnacao,
Maria Anastasiadou,
Vitor Santos
Abstract:Purpose
This paper aims to explore explainable artificial intelligence (XAI) in democracy, proposing an applicable framework. With artificial intelligence’s (AI) increasing use in democracies, the demand for transparency and accountability in AI decision-making is recognized. XAI addresses AI “black boxes” by enhancing model transparency.
Design/methodology/approach
This study includes a thorough literature review of XAI. The methodology chosen was design science research to enable design theory and problem i… Show more
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