Abstract--This paper investigates citizens' counter-strategies to We further identified factors that increase the propensity for counter-strategies. These perceptions are linked to citizens' decisions about For instance, protesters may don uniform clothing, goggles and face masks I. Also, an increasing number of recommendations and tools emerge to obfuscate, Artificial Intelligence (AI) is a critical asset for law enforcement'confuse' or even'weaponize own data' against data collection agencies' (LEAs) efficiency and effectiveness, e.g., efforts [2], [5], [6]. Simultaneously, to avoid government entities collecting data about them [7] there are legitimate concerns about their usage, chief amongst and over half decided against products or services because them that algorithms can reinforce social inequalities (e.g., they worried about collection of personal information [8]. Such with respect to minority groups or genders), lead to faulty changes in mass-behaviors have operational consequences for decisions with dramatic real-life consequences and create LEAs [3], including training and long-term viability of AI inflexible, insensitive procedures that fail to take into account applications. In this paper, we investigate citizens' counter-strategies, This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 883596 (AIDA The information in this paper reflects only the authors' view and We further captured about current and future AI applications.