Samenvatting

Location data is a sensitive data type that is collected on a wide scale and is easily misused as it can reveal sensitive personal information. Popular and upcoming technologies like AI and IoT devices can play a meaningful role in this as they become more prevalent and integrated into our daily-use devices and surpass human abilities. This research explores how these technologies are used for collecting, analyzing, and utilizing location data and examines the effects on individuals' privacy, as increasingconcerns about privacy create the need for effective regulation.Desk research and field research methods were utilized to gather information on the technologies used in location data, the potential role of AI and IoT devices, and the privacy implications. Desk research involved analyzing research reports and literature, and field research involved tracking 15 individuals to analyze the insights obtained from their location data with publicly available AI to explore the current-day abilities of publicly available AI. Research results revealed the current methods and technologies used for location data, such as GPS, Wi-Fi tracking, Bluetooth tracking, IP addresses, and data collected from platforms and applications. In addition, they showed that AI and IoT could play a role in location data processes by offering improved insights, data fusion, image/text recognition, and enhanced data collection methods. Yet, the integration of IoT technologies and AI in location data processes is not without negative consequences. Using publicly available AI can already provide meaningful insights about an individual'sprofile and preferences, with accurate identification of home location, frequently visited places, and certain characteristics.The research concludes that the combination of Artificial Intelligence (AI) and the Internet of Things (IoT) has revolutionized the collection and analysis of location data, but it raises significant privacy concerns. Constant monitoring through IoT devices allows for the creation of detailed profiles and questions personal freedom. Data breaches and unauthorized access to IoT networks pose risks of stalking and identity theft. In addition, AI can extract sensitive personal information from location data, enabling tracking and prediction of individuals' movements. Anonymization of location data is also challenging, with the possibility of re-identification as AI can be used to analyze the location data todevelop new insights. Balancing the benefits of AI and IoT with privacy protection requires ethical decision-making, robust security measures, and transparent data practices. Regulators and technology companies should address these privacy implications alongside technological advancements.