An AI regulatory sandbox is a structured framework designed to facilitate the safe, responsible, and innovative development of AI technologies.

It provides a controlled environment for experimentation and testing of innovative AI systems, particularly those with unclear regulatory issues that require guidance and analysis. This ensures thatsuch systems comply with existing regulatory frameworks before they are launched in the market.

An AI regulatory sandbox aims to foster innovation developers to test AI solutions within predefined boundaries under strict regulatory oversight. This approach supports the creation of AI technologies that integrate appropriate safeguards and risk mitigation measures, ensuring their safety and compliance with relevant laws.

Additionally, AI sandboxes enhance legal certainty for innovators and improve the oversight capabilities of competent authorities by providing insights into opportunities, emerging risks, and the broader impacts of AI.

Moreover, (regulatory) sandboxes support regulatory learning and adaptation by facilitating cooperation and sharing of best practices among authorities. They also aim to accelerate market access by reducing barriers, especially for SMEs and startups.

AI regulatory sandboxes can be implemented in various forms—physical, digital, or hybrid— and should be equipped with adequate financial and human resources to function effectively.

The experimentation and testing activities of AI regulatory sandboxes can cover several building blocks as mandated by the AI Act, thereby ensuring any of the following services:

1. Guidance on regulatory expectations (Art. 57(7) AI Act) 
   
   
2. Risk classification of the AI System according to the AI Act

    

3. Guidance and support on compliance with requirements and obligations of the (Art. 57(7) AI Act)

    

4. Guidance, supervision and support on:

    

   o identification, testing and mitigation of risks, particularly to fundamental
   rights, health & safety (Art. 57(6) & (11) AI Act)

   o their effectiveness in light of the AI Act and Union and national regulation
   
   

5. Development, Training and Testing (Art. 57(5) & (11) AI Act)

    

6. Monitoring during Sandbox operations for:

    

   o significant risks to health, safety and fundamental rights (Art. 57(11) AI Act)
   
   

7. Facilitate development of tools and infrastructure for:

    

   o testing, benchmarking, assessing and explaining relevant aspects such
   as accuracy, robustness and cybersecurity (Art. 58(2) (i) AI Act)
   
   

8. Facilitate development of measures to mitigate risks to fundamental rights and society at large (Art. 58(2) AI Act

    

9. Compliance with other Union and national laws & Involvement of DPA (Art. 57 (10) AI Act) and other Competent Authorities

    

10. Testing in real world conditions (Art. 60 AI Act)

     

11. Preparation for the Conformity Assessment.