This report seeks to evaluate on lessons learned so far running the digital platform Thirdroom since 2017, with its prime starting point in the Humtek house under RUC, IMT. The information gathered is used to generate an implementation strategy for Thirdroom to be executed on IKH in the nearby future. Through the use of ‘Semi constructed Interview Method’ data has been gathered from different individuals belonging to different interest groups, connected to the usages of Thirdroom.

The paper concludes that the use of facial recognition as a surveillance tool is highly problematic, since it allows everyone to be a subject of suspicion. Furthermore, big tech-companies like Facebook and Apple are in a position to possess a huge amount of biometric data, whereby the user loses the ownership of their own personal data. As users we are willingly or without question giving these companies this data by using their technologies every day and by accepting opaque terms of condition.

In the mid-1950s the first stage of technology to innovate machines, computers and systems was the phenomenal wisdom about artificial intelligence. Machines and systems are becoming more and more intelligent, they can identify us humans, and they have the probability to read your emotions. Digging deeper into the machine world, we raise questions of how these machines are programmed and systemized which gives this project an insight of scientific and ethical aspects of facial recognition technology. The goal of this project is to understand the complexity of facial recognition.

The purpose of this project is to explain the technology facial recognition (FRT) and CCTV in a technological system. Furthermore, to examine if the citizens in the Danish society changes their behaviour because of the increased amount of surveillance in public spaces.