As these events unfolded, human-computer interaction and design scholar Colin M. Gray had just published his first taxonomy of dark patterns. We thought it would be interesting to delve into these pervasive and hard-to-regulate patterns that hide within cookie banners to coerce users into doing something they wouldn’t do otherwise.
Our early-morning calls with Colin during the 2020 pandemic soon gave birth to the very first research study combining the knowledge of Computer Science, Law and HCI/Design scholars. Published at the flagship ACM Human-Computer Interaction conference (ACM CHI'2021), it reached a pinnacle reserved to the top 5% of papers: the "Best of CHI Honorable Mention".
If you ask me how the enforcement of privacy laws is doing these days, I would say that the sky is brighter above countries like France, thanks to the CNIL’s tireless efforts. I spent one year in their Digital Innovation Lab (LINC) helping to regulate web tracking and dark patterns while strengthening relationships with academic research. These bonds are even more critical as increasingly complex privacy threats are looming in the areas of mobile, IoT, new voice interfaces and augmented/virtual reality.
Collaboration with other disciplines such as economics are equally critical to further analyze the complex technological ecosystem and the economic incentives at hand for each stakeholder involved. Without this in-depth understanding, regulators and policy makers cannot protect citizens from the advanced technologies that leak user data and from the dark patterns that manipulate them on an unprecedented scale.
It is also important to reach beyond the academic and regulation realms to empower citizen themselves. When my Privatics colleague Cedric Lauradoux contacted me back in 2017 to invite me to take part in a new Inria Learning Lab MOOC on Privacy Protection, I didn’t hesitate for one second. So far, the MOOC has been attended by more than 43,000 French-speaking participants from all over the world.