Standardisation + Artificial Intelligence
Our research focusses on the potential role of standardization and certification as a (self)regulatory tool in these fields, including the role of standards in ensuring compliance with ethical issues.
The standardisation landscape in relation to AI is abundant. A recent JRC study identified over 140 relevant initiatives directly addressing AI-specific issues or relating to enabling technologies for AI, such as Big Data. In drafting these standards a wide range of Standards Development Organizations (SDO’s) is involved, including CEN/CENELEC, ETSI, ISO/IEC, ITU-T and IEEE.
Standardisation is expected to play a key role in providing technical solutions to providers ensuring compliance with the recent European draft Artificial Intelligence Act (AIA). This new Act builds on the European New Approach in which standards play a central role in ensuring compliance with safety and other 'essential requirements'. Currently standards development is under way relating to each of the sets of requirements as defined in the AIA, including data and data governance, technical documentation, record-keeping, transparency and provision of information to users, human oversight, accuracy, robustness, cybersecurity, risk and quality management systems.
Relevant publications include
- Stuurman and E. Lachaud, Regulating AI. A label to complete the newly proposed Act on Artificial Intelligence