Enhancing human experiences: AI twins for better thinking and social skills
A Project Preview
Imagine David, a 34-year-old artist and trekking enthusiast, who has recently started using Angelo, an AI twin of his life experience. Angelo, an invented name, could be defined as an evolving, memory-based AI twin that collects David’s journey, thought patterns, decisions and personality, and his reactions to the environment, trained on years of personal data: texts, conversations, images, eye movements, location it creates and updates personal and private AI models. Using Angelo gives David access to modern generative AI tools while keeping his individuality.
Newly funded research led by Albrecht Schmidt intends to establish a scientific basis for AI twins of human experience, in other words AI systems that capture and encode the real-world experiences and tacit knowledge of an individual.
Schmidt’s team believes that AI twins can augment human cognitive and social abilities and enhance human executive functions, memory creation and retrieval, metacognition, planning and prioritisation, decision-making, and creativity through highly personalized and private interactive AI models. Through continuous data collection from wearable devices, Schmidt’s team will explore and develop AI-twins as advanced personal systems for storing and processing human experiences and seamlessly aiding human cognitive and creative abilities.
This research intends to pioneer human-AI symbiosis, enabling personal simulations of future scenarios based on one’s own experiences, leading to a form of personalised symbiotic intelligence based on authentic, individual as well as collective human experiences. This project could transform the use of personal data, enabling cognitive augmentation and social connectivity through AI.
Albrecht Schmidt is a professor of computer science at the Ludwig-Maximilians-Universität München (University of Munich) and a member of the German Academy of Sciences Leopoldina since 2020.
Goals and Objectives
Develop sustainable, continuously updated personal AI models
Enable memory support, decision-making, and creativity through AI
Ensure ethical, privacy-respecting systems with human control
Lay the foundation for future human-AI symbiosis
Research Team
We plan to hire later this year!
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We are always happy to disscuss ideas and
opportunities to do a MSc, BSc, or project thesis
in the context of this project.
Research Approach
We take a human-centered, agile, and interdisciplinary approach.
We build prototypes with wearable sensors,
multimodal AI, and context-aware interfaces.
Through empirical studies and iterative
design, we aim to understand how
humans benefit from AI-twins in daily life while
safeguarding values, privacy, and agency.