Project description
Human-AI relationship based on an AI-twin building on human experience
Memory, cognitive, and social abilities, as well as executive functions, are crucial in our everyday lives and in our connections with others. Understanding them is an extensive and challenging task that is crucial to many key fields. The ERC-funded AI-Twin project aims to establish AI twins that build on human experiences. These personalised, multi-modal generative AI systems will capture users’ tacit knowledge and real-world experiences through data from wearable devices. This will enhance various cognitive and social abilities, fostering a symbiotic relationship between humans and AI that adapts to individual experiences. The project will also address key technical and ethical challenges, such as privacy and system utility.
Objective
We aim to establish a scientific foundation for AI-twins of human experience - personalized multi-modal generative AI systems that capture and encode an individual’s real-world experiences and tacit knowledge. Through continuous data capture from wearable devices, we will explore and develop AI-twins as advanced personal systems for storing and processing human experiences. We believe AI-twins can augment human cognitive and social abilities and enhance human executive functions such as memory creation and retrieval, metacognition, planning and prioritizing, decision making, and creativity. AI-twins will enable personal simulations of future scenarios grounded in one's own experience. By effective cognitive augmentation, AI-twins will allow a symbiotic human-AI relationship built on real and individual experiences. Using ubiquitous sensing, we hope to continuously add new and authentic real-world information (e.g. texts, conversations, images, gaze, location) to ensure the sustainability of the generative AI model, reducing the risk of model degradation or collapse. We will adopt an experimental approach, prototyping functional systems that facilitate in-situ capture, processing, storage, and access. We will empirically explore applications in skill acquisition, human memory aids, self-reflection, and social networking to assess the potential impact qualitatively and quantitatively. In addressing technical and ethical challenges, we will look at the implications of design decisions on user privacy and the system's utility. This project has the potential to transform personal data utilization, enabling cognitive augmentation and social connectivity through AI. We will also explore the broader impact of AI-twins beyond personal use, envisioning societal knowledge sharing through the fusion of these models. Ultimately, this research aims to pioneer human-AI symbiosis, leading to a form of personalized symbiotic intelligence grounded in authentic human experiences.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences infectious diseases RNA viruses HIV
- natural sciences biological sciences biological behavioural sciences ethology biological interactions
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2024-ADG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
80539 MUNCHEN
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.