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).
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).