Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction
| Type of publication: | Inproceedings |
| Citation: | |
| Booktitle: | Explainable and Transparent AI and Multi-Agent Systems |
| Year: | 2023 |
| Month: | June |
| Abstract: | Artificial intelligence (AI) systems have been increasingly adopted for decision support, behavioral change purposes, assistance, and aid in daily activities and decisions. Thus, focusing on design and interaction that, in addition to being functional, foster users’ acceptance and trust is increasingly necessary. Human-computer interaction (HCI) and human-robot interaction (HRI) studies focused more and more on the exploitation of communication means and interfaces to possibly enact deception. Despite the literal meaning often attributed to the term, deception does not always denote a merely manipulative intent. The expression ”banal deception” has been theorized to specifically refer to design strategies that aim to facilitate the interaction. Advances in explainable AI (XAI) could serve as technical means to minimize the risk of distortive effects on people’s perceptions and will. However, this paper argues that how the provided explanations and their content can exacerbate the deceptive dynamics or even manipulate the end user. therefore, in order to avoid similar consequences, this analysis suggests legal principles to which the explanation must conform to mitigate the side effects of deception in HCI/HRI. Such principles will be made enforceable by assessing the impact of deception on the end users based on the concept of vulnerability – understood here as the rationalization of the inviolable right of human dignity – and control measures implemented in the given sytems. |
| Keywords: | XAI · Deception · Vulnerability |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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