Project description
Battling cognitive biases in the post-truth era
In our digital age, distinguishing fact from fiction is becoming increasingly difficult, pushing us towards a post-truth era. This issue stems from our reliance on mental shortcuts, leading to biases and poor decision-making, which are magnified in our networked world. The rise of generative AI, capable of creating convincing false information, exacerbates this problem, potentially leading to an epistemic crisis. The ERC-funded VIGILIA project aims to combat this threat by developing automated techniques to detect cognitive biases in information processing. By leveraging AI and advanced user modelling, VIGILIA will create tools called VIrtual GuardIan AngeLs (VIGILs) for news consumers, journalists, researchers, and policymakers. Ethical considerations will be a primary focus throughout the project.
Objective
This project is motivated by the hypothesis that we are approaching a post-truth society, where it becomes practically impossible for anyone to distinguish fact from fiction in all but the most trivial questions. A main cause of this evolution is people’s innate dependence on cognitive heuristics to process information, which may lead to biases and poor decision making. These biases risk being amplified in a networked society, where people depend on others to form their opinions and judgments and to determine their actions. Contemporary generative Artificial Intelligence technologies may further exacerbate this risk, given their ability to fabricate and efficiently spread false but highly convincing information at an unprecedented scale. Combined with expected advances in virtual, augmented, mixed, and extended reality technologies, this may create an epistemic crisis with consequences that are hard to fully fathom: a post-truth era on steroids.
In the VIGILIA project, we will investigate a possible mitigation strategy. We propose to develop automated techniques for detecting triggers of cognitive biases and heuristics in humans when facing information, as well as their effect at an interpersonal level (their effect on trust, reputation, and information propagation), and at a societal level (in terms of possible irrational behaviour and polarization). We aim to achieve this by leveraging techniques from AI itself, in particular Large Language Models, as well as by building on advanced user modelling approaches from the past ERC Consolidator Grant FORSIED. Our results will be integrated within tools that we refer to as VIrtual GuardIan AngeLs (VIGILs), aimed at news and social media consumers, journalists, scientific researchers, and political decision makers. Ethical questions arising will be identified and dealt with as first-class questions within the research project.
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.
- social sciences media and communications journalism
- natural sciences computer and information sciences artificial intelligence heuristic programming
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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)
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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-2023-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.
9000 Gent
Belgium
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.