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A framework for principled AI-assisted judicial decision-making

Objective

JUDGEASSIST will create the first analytical framework for evaluating AI systems designed for assisting judicial decision-making and ensure their principled development. Assistive AI systems are proliferating globally, deployed for a range of decision-making tasks and areas of law; e.g. recommending sentences, weighing risk in intimate partner violence cases, determining liability in road traffic accidents, and generating judgment texts. This represents a paradigm shift in how justice is done in courts, raising opportunities and considerable risks that impact the legitimacy and integrity of judicial systems.
Scholarship on these developments is limited owing to a scarcity of cross-disciplinary perspectives, a lack of empirical insight, and little meaningful collaboration with judges, lawyers and the public to evaluate its impacts and design. Against this backdrop, JUDGEASSIST will create new, future-proof modes for investigating, developing and deploying AI to assist judicial decision-making through an analytical framework that is both conceptually novel (through cross-disciplinarity), and methodologically innovative (through mixed methods empirical research and stakeholder input). JUDGEASSIST’s objectives are: 1) to establish principles to guide the development and deployment of AI systems for specific tasks in different judicial contexts; 2) to draft technical standards to build AI systems aligned to these pre-determined principles; and, 3) to develop ways to test how effectively the technical standards operationalise the pre-determined principles. Combined, the work packages to fulfil these objectives make up the analytical framework.
JUDGEASSIST will contribute new modes for understanding, evaluating, and developing AI systems for assisting judicial decision-making, addressing an urgent societal challenge: to ensure that this technology is deployed such that it upholds the legitimacy and integrity of judicial systems, aligned with European rule of law values.

Fields of science (EuroSciVoc)

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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)

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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.

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

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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) ERC-2025-COG

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Host institution

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
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.

€ 1 999 820,00
Address
COLLEGE GREEN TRINITY COLLEGE
D02 CX56 Dublin
Ireland

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Region
Ireland Eastern and Midland Dublin
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.

€ 1 999 820,00

Beneficiaries (1)

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