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Advanced User-centric, Trustworthy and Privacy-preserving AI-powered Search Engine

Objective

The European Green Deal aims to build a resource-efficient, competitive EU economy with net-zero greenhouse gas emissions, clean energy and sustainable industries. Achieving this requires quick and reliable access to information on climate change, energy production, and technological developments. AI-powered search engines (AIPSEs) like Perplexity, can automatically retrieve information from multiple sources and deliver synthesized answers to users—saving them time browsing various websites.

However, AIPSEs are still in their infancy and face critical security challenges, including generating biased or malicious responses, privacy leaks, and limited research in this area. For instance, Google’s AI Overviews generated dangerous responses like suggesting user eat rocks and glue (2024), and attackers can trick AIPSE into citing malicious content from phishing websites. Some AIPSEs track user histories for personalization, raising privacy risks; notably, a ChatGPT glitch exposed users' private conversations (2023).

AURORA (Advanced User-centric, tRustwOrthy and pRivacy-preserving AI-powered search engine) is my proposal to mitigate these challenges, which aims to develop a user-centric AIPSE that provides trustworthy responses while protecting user privacy, and adhering to GDPR and EU AI Act. AURORA includes: 1). a user study on how users perceive malicious responses generated by existing AIPSEs, to guide user-centric design (WP1); 2). a multi-agent debate model with ML-based filters to automatically block fabricated and malicious content (WP2), which is expected to block around 90% of malicious sources, and to reduce hallucinations by about 10%; 3). a local differential privacy scheme to protect user data (WP3). By preventing the spread of misinformation, blocking malicious responses, and protecting privacy, AURORA enables policymakers, researchers, and citizens to make informed decisions about energy, environmental policies, and sustainable practices.

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.

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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)

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-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
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.

€ 260 347,92
Address
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ London
United Kingdom

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Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
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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.

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