Stockinger Elisabeth, Maas Jonne, Talvitie Christofer, Dignum Virginia
Computational Social Science, ETH Zurich, Zurich, Switzerland.
Values, Technology and Innovation, Delft University of Technology, Delft, Netherlands.
Ethics Inf Technol. 2024;26(3):55. doi: 10.1007/s10676-024-09790-6. Epub 2024 Aug 12.
Voting Advice Applications (VAAs) are interactive tools used to assist in one's choice of a party or candidate to vote for in an upcoming election. They have the potential to increase citizens' trust and participation in democratic structures. However, there is no established ground truth for one's electoral choice, and VAA recommendations depend strongly on architectural and design choices. We assessed several representative European VAAs according to the Ethics Guidelines for Trustworthy AI provided by the European Commission using publicly available information. We found scores to be comparable across VAAs and low in most requirements, with differences reflecting the kind of developing institution. Across VAAs, we identify the need for improvement in (i) transparency regarding the subjectivity of recommendations, (ii) diversity of stakeholder participation, (iii) user-centric documentation of algorithm, and (iv) disclosure of the underlying values and assumptions.
The online version contains supplementary material available at 10.1007/s10676-024-09790-6.
投票建议应用程序（VAA）是一种交互式工具，用于帮助人们在即将到来的选举中选择投票支持的政党或候选人。它们有可能增强公民对民主结构的信任和参与度。然而，对于个人的选举选择并没有既定的客观事实依据，而且VAA的建议在很大程度上取决于架构和设计选择。我们根据欧盟委员会提供的可信人工智能伦理准则，利用公开可用信息对几个具有代表性的欧洲VAA进行了评估。我们发现，各VAA的得分具有可比性，且在大多数要求方面得分较低，差异反映了开发机构的类型。在所有VAA中，我们确定需要在以下方面进行改进：（i）建议主观性的透明度，（ii）利益相关者参与的多样性，（iii）以用户为中心的算法文档，以及（iv）潜在价值观和假设的披露。
在线版本包含可在10.1007/s10676-024-09790-6获取的补充材料。
