Project description
Regulatory sandboxes for better data protection in AI era
Artificial intelligence (AI) technologies are receiving a lot of attention in terms of their potential to revolutionise many of today’s industries. AI can provide new ways of achieving automation, efficiency and reduced energy and resource consumption. However, it has also showcased the necessity for efficient policymaking with regard to the coordination of data protection with efficient AI innovations. The EU-funded REBOOT.AI project offers a solution by developing a revolutionary theoretical framework and an array of regulatory sandboxes inspired by French and Norwegian Data protection authorities for safely examining AI innovations and reaching an efficient consensus on formulating relevant policies.
Objective
AI applications are on the rise. This is the case in terms of both number and value, and is coupled with a prominent EU investments in the field and in related research. AI-driven innovations promise great benefits, but also come with clear and concerning risks for data protection that are hard to predict and only-partially covered by GDPR. There is an urgent need to understand if and how regulators should intervene in this clash between AI innovations and data protection. Regulatory sandboxes are the perfect tool for doing so. A regulatory sandbox can be defined as an environment for the testing of innovative products, services or processes by selected private actors under the supervision of a regulatory authority. Their findings can be used to improve future regulation and/or support compliance with current regulation. REBOOT.AI aims at designing a legal theoretical framework to support Member States and their data protection authorities in setting up regulatory sandboxes dedicated to the development of trustworthy AI applications. This framework will be easily accessible in the form of recommendation guidelines, which will be based on both theoretical and empirical research. For that purpose, the project studies the only two regulatory sandboxes in the European Economic Area that explicitly address the interaction between AI and data protection: those that have been activated by the Norwegian Data Protection Authority and the French Data Protection Authority. By setting a standard framework for regulatory sandboxes on AI and data protection, REBOOT.AI will bring about an increased adoption of AI trustworthy applications across Europe, thus significantly contributing to the Horizon Europe Action (HORIZON-CL4-2021-HUMAN-01-02).
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.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
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-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2021-PF-01
See all projects funded under this callCoordinator
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.
10124 TORINO
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.