GRAIMATTER has developed a draft set of usable recommendations for TREs to guard against the additional risks when disclosing trained AI models from TREs. This report provides a summary of our recommendations for a general public audience. The detailed Green Paper on recommendations can be found at DOI: 10.5281/zenodo.7089491 If you would like to provide feedback or would like to learn more, please contact Smarti Reel (sreel@dundee.ac.uk) and Emily Jefferson (erjefferson@dundee.ac.uk)
Digitalisation of health and the use of health data in artificial intelligence, and machine learning...
Motivated by the advancing computational capacity of distributed end-user equipments (UEs), as well ...
AI models, and Machine Learning (ML) in particular, are excellent tools that can be used by a learni...
TREs are widely, and increasingly used to support statistical analysis of sensitive data across a ra...
Consultation: This is a working version of the GRAIMATTER recommendations for disclosure control of...
TREs are widely, and increasingly used to support statistical analysis of sensitive data across a ra...
ObjectivesTo assess a range of tools and methods to support Trusted Research Environments (TREs) to ...
Introduction: Artificial intelligence (AI) applications in healthcare and medicine have increased in...
Introduction: Artificial intelligence (AI) applications in healthcare and medicine have increased in...
Trusted Research environments (TRE)s are safe and secure environments in which researchers can acces...
Introduction. Trusted research environments (TREs) provide secure access to very sensitive data for ...
Digitalisation of health and the use of health data in artificial intelligence, and machine learning...
Digitalisation of health and the use of health data in artificial intelligence, and machine learning...
Motivated by the advancing computational capacity of distributed end-user equipments (UEs), as well ...
AI models, and Machine Learning (ML) in particular, are excellent tools that can be used by a learni...
TREs are widely, and increasingly used to support statistical analysis of sensitive data across a ra...
Consultation: This is a working version of the GRAIMATTER recommendations for disclosure control of...
TREs are widely, and increasingly used to support statistical analysis of sensitive data across a ra...
ObjectivesTo assess a range of tools and methods to support Trusted Research Environments (TREs) to ...
Introduction: Artificial intelligence (AI) applications in healthcare and medicine have increased in...
Introduction: Artificial intelligence (AI) applications in healthcare and medicine have increased in...
Trusted Research environments (TRE)s are safe and secure environments in which researchers can acces...
Introduction. Trusted research environments (TREs) provide secure access to very sensitive data for ...
Digitalisation of health and the use of health data in artificial intelligence, and machine learning...
Digitalisation of health and the use of health data in artificial intelligence, and machine learning...
Motivated by the advancing computational capacity of distributed end-user equipments (UEs), as well ...
AI models, and Machine Learning (ML) in particular, are excellent tools that can be used by a learni...