| Title | Trustworthy AI Development Guidelines for Human System Interaction |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Wickramasinghe, C. S., Marino, D. L., Grandio, J., Manic, M. |
| Conference Name | 2020 13th International Conference on Human System Interaction (HSI) |
| Keywords | AI Life Cycle, AI system life cycle, AI-based systems, artificial intelligence, Data models, explainable AI, Guidelines, Human Behavior, Human Machine Interactions, human system interaction, Human System Interactions, human trust, marine safety, Optimization, Organizations, pubcrawl, Robustness, Testing, transparency, Trusted Computing, Trustworthy AI, trustworthy AI development guidelines, trustworthy AI research area, user interfaces, user trust |
| Abstract | Artificial Intelligence (AI) is influencing almost all areas of human life. Even though these AI-based systems frequently provide state-of-the-art performance, humans still hesitate to develop, deploy, and use AI systems. The main reason for this is the lack of trust in AI systems caused by the deficiency of transparency of existing AI systems. As a solution, "Trustworthy AI" research area merged with the goal of defining guidelines and frameworks for improving user trust in AI systems, allowing humans to use them without fear. While trust in AI is an active area of research, very little work exists where the focus is to build human trust to improve the interactions between human and AI systems. In this paper, we provide a concise survey on concepts of trustworthy AI. Further, we present trustworthy AI development guidelines for improving the user trust to enhance the interactions between AI systems and humans, that happen during the AI system life cycle. |
| DOI | 10.1109/HSI49210.2020.9142644 |
| Citation Key | wickramasinghe_trustworthy_2020 |
Trustworthy AI Development Guidelines for Human System Interaction