Abstract
Explaining artificial intelligence (AI) to people is crucial since the large number of AI-generated results can greatly affect people’s decision-making process in our daily life. Chatbots have great potential to serve as an effective tool to explain AI. Chatbots have the advantage of conducting proactive interactions and collecting customer requests with high availability and scalability. We make the first-step exploration of using chatbots to explain AI. We propose a chatbot explanation framework which includes proactive interactions on the explanation of the AI model and the explanation of the confidence level of AI-generated results. In addition, to understand what users would like to know about AI for further improvement on the chatbot design, our framework also collects users’ requests about AI-generated results. Our preliminary evaluation shows the effectiveness of our chatbot to explain AI and gives us important design implications for further improvements.
M. Gao—Work was done during internship at IBM.
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Gao, M., Liu, X., Xu, A., Akkiraju, R. (2022). Chat-XAI: A New Chatbot to Explain Artificial Intelligence. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-030-82199-9_9
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