‘Things could drift toward Black Mirror’: Lithuania’s AI pioneer on digital twins

Paulius Jurcys, an intellectual property law expert and AI researcher based in Lithuania, has warned that the rapid advancement of artificial intelligence could lead society down a path similar to the dystopian narratives depicted in Black Mirror. His comments come after years of working in Silicon Valley, where he observed firsthand the transformative power, and the risks, of AI technologies. Jurcys spent the last decade in the Bay Area, immersed in one of the most innovative tech ecosystems in the world. He described the environment as highly dynamic, driven by a constant influx of talent and ideas. People from across the globe arrived with ambitious visions, developed products, and often moved on before they had fully realized their goals. This fast-paced culture meant that many individuals stayed only long enough to launch a project, commercialize it, and then pivot to the next big thing. His journey into artificial intelligence began during a period when the field was still largely confined to speculative discussions. However, the release of ChatGPT marked a pivotal shift. For the first time, AI became directly accessible to the public, allowing users to experiment with its capabilities and limitations. Jurcys noted that this accessibility sparked a wave of curiosity and practical application among both developers and end-users. Today, Jurcys applies AI tools in his daily life, using them to optimize workflows and enhance efficiency. He emphasized the importance of understanding specific tasks and identifying opportunities for automation. “I try to determine which tool will best address a given challenge,” he explained. One of the key areas of focus in AI research is the concept of AI twins, digital replicas of individuals constructed from personal data, behavioral patterns, and other relevant information. These models, Jurcys explains, can evolve over time, becoming more accurate and useful as they accumulate more data. The idea of AI twins is gaining traction in Silicon Valley, where several core applications are being explored. Health monitoring stands out as a primary concern. By analyzing data collected through wearable devices, AI twins could potentially detect early signs of health issues. Jurcys gave the example of compiling a daily matrix of health metrics, including heart rate, step count, and nutritional intake, to identify subtle changes in the body. Beyond health, AI twins could serve as intermediaries between individuals and others, helping manage communication and share expertise. Jurcys mentioned using an AI twin to expand his reach, particularly among law students and colleagues, by providing timely assistance with messages and emails. He also highlighted the potential of AI twins to generate creative ideas and boost productivity. “Sometimes, technology can spark new ways of thinking,” he said, noting that these tools might help uncover solutions that hadn’t been previously considered. Building an AI twin, Jurcys explained, starts with documenting aspects of one's life, much like maintaining a diary or recording memories. The difference lies in the scale and precision of data collection. Modern tools allow for capturing detailed information about daily routines, integrating voice recordings, images, and sensor-based tracking data. As AI continues to advance, the integration of these digital counterparts into everyday life becomes increasingly plausible. With more context about an individual, AI twins could assist with everything from routine tasks to complex decision-making. The future of AI, Jurcys suggests, may soon blur the lines between reality and simulation, raising profound questions about identity, privacy, and autonomy.