Although deceptive design patterns are subject to growing regulatory oversight, enforcement races to keep up with the scale of the problem. One promising solution is automated detection tools, many of which are developed within academia. We interviewed nine experienced practitioners working within or alongside regulatory bodies to understand their work against deceptive design patterns, including the use of supporting tools and the prospect of automation. Computing technologies have their place in regulatory practice, but not as envisioned in research. For example, investigations require utmost transparency and accountability in all the activities we identify as accompanying dark pattern detection, which many existing tools cannot provide. Moreover, tools need to map interfaces to legal violations to be of use. We thus recommend conducting user requirement research to maximize research impact, supporting ancillary activities beyond detection, and establishing practical tech adoption pathways that account for the needs of both scientific and regulatory activities.

翻译：尽管欺骗性设计模式正受到日益严格的监管审查，但执法行动仍难以跟上问题规模的扩张速度。自动化检测工具作为一种前景广阔的解决方案，其中许多由学术界开发。我们采访了九位在监管机构内部或与之协作的资深从业者，以了解他们在应对欺骗性设计模式方面的工作，包括辅助工具的使用现状与自动化前景。计算技术在监管实践中确有其用武之地，但其应用形态与研究设想存在差异。例如，调查工作在我们识别出的所有伴随暗黑模式检测的关联活动中，均要求极高的透明度与可问责性，而现有工具大多无法满足这一需求。此外，工具必须能将界面特征映射至具体违法行为方具实用价值。因此我们建议：开展用户需求研究以最大化研究影响力，支持检测之外的辅助性活动，并建立兼顾科研需求与监管实践的技术应用路径。