Objective
The project proposes an alternative epistemology of artificial intelligence (AI). It argues that what is at stake in AI is not its similarity to human rationality (anthropomorphism), but its epistemic difference. Rather than speculating in the abstract on whether a machine can think, the project addresses a historical question: What is the logical and technical form of the current paradigm of AI, machine learning, and what is its origin? The project traces the origins of machine learning back to the invention of algorithmic modelling (more precisely, algorithmic statistical modelling) that took shape in the artificial neural networks research of the mid 1950s, and records that a coherent history and epistemology of this groundbreaking artefact is still missing. The project pursues three objectives to turn its findings into a constructive paradigm: 1) a new history of AI that stresses the key role of algorithmic models in the evolution of statistics, computer science, artificial neural networks, and machine learning; 2) a new epistemology of AI that engages with the psychology of learning and the historical epistemology of science and technology; 3) a study of the impact of the large multi-purpose models (e.g. Bert, GPT-3, Codex and other recent foundation models) on work automation, data governance, and digital culture. Through consolidating a model theory of AI, the research will benefit the reception of AI in general and fields such as digital humanities, scientific computing, robotics, and AI ethics, among others. Ultimately, it will help situate AI in the global horizon of the current technosphere and in the long history of knowledge systems.
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.
- humanities philosophy, ethics and religion philosophy epistemology
- humanities history and archaeology history
- social sciences psychology
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- natural sciences computer and information sciences software software applications simulation software
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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-2022-COG
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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.
30123 VENEZIA
Italy
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.