Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Measuring and Mitigating Risks of AI-driven Information Targeting

Project description

Protecting against AI-driven information targeting

European institutions are demanding action and options for dealing with the threat of political advertising through algorithms driven by AI. This can be seen in the use of algorithms that can target people based on their data and show them specific information based on the advertisers’ interest. The ERC-funded MOMENTOUS project will study the impact of AI-based information targeting on a person’s beliefs. The project will also study the quality of the information received by users and the capability of AI-driven algorithms to exploit users’ vulnerabilities. Finally, the project will use the data to reach a conclusion on efficient protection methods and technologies for users, groups and platforms.

Objective

We are witnessing a massive shift in the way people consume information. In the past, people had an active role in selecting the news they read. More recently, the information started to appear on people's social media feeds as a byproduct of one's social relations. At present, we see a new shift brought by the emergence of online advertising platforms where third parties can pay ad platforms to show specific information to particular groups of people through paid targeted ads. These targeting technologies are powered by AI-driven algorithms. Using these technologies to promote information, rather than promote products as they have been initially designed for, opens the way for self-interested groups to use user's personal data to manipulate them. European Institutions recognize the risks, and many fear a weaponization of the technology to engineer polarization or manipulate voters.
The goal of this project is to study the risks with AI-driven information targeting at three levels: (1) human-level--in which conditions targeted information can influence an individual's beliefs; (2) algorithmic- level--in which conditions AI-driven targeting algorithms can exploit people's vulnerabilities; and (3) platform-level--are targeting technologies leading to biases in the quality of information different groups of people receive and assimilate. Then, we will use this understanding to propose protection mechanisms for platforms, regulators, and users.
This proposal's key asset is the novel measurement methodology I propose that will allow for a rigorous and realistic evaluation of risks by enabling randomized controlled trials in social media. The measurement methodology builds on advances in multiple disciplines and takes advantage of our recent breakthrough in designing independent auditing systems for social media advertising. Successful execution will provide a solid foundation for sustainable targeting technologies that ensure healthy information targeting.

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.

You need to log in or register to use this function

Keywords

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.

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.

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.

HORIZON-ERC - HORIZON ERC Grants

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2021-STG

See all projects funded under this call

Host institution

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
Net EU contribution

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.

€ 1 039 009,90
Address
DOMAINE DE VOLUCEAU ROCQUENCOURT
78153 Le Chesnay Cedex
France

See on map

Activity type
Research Organisations
Links
Total cost

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.

€ 1 039 009,90

Beneficiaries (2)

My booklet 0 0