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Health research aims to find better ways to treat, prevent and cure disease.
This vital component of healthcare can take multiple forms and present a variety of risks and opportunities. Whether it is a clinical trial, secondary data research, research ethics board protocol review, or a material transfer agreement, we keep the aims of the study top of mind while advising researchers, funders, and health care organizations. We also advise on deidentification of data for research purposes, and questions of research versus quality.
Our services include:
Agreements - Material transfer, clinical trial, data sharing, basic science
Research ethics board advice
Research misconduct
Protocol reviews
Informed consents
Deidentified data
Connect with our team
Mary Jane Dykeman
Samara Starkman
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Updated: Jun 27, 2022
The explainability and interpretability of artificial intelligence systems are key pillars of any responsible AI program, and they are components of emerging AI law. This multidisciplinary webinar explored explainable AI's legal, policy, and technical implications.
Agree that explainability, interpretability and understandability are key, but these three words represent different aspects that need to be pulled apart. This was an attempt to do that a couple years ago, that might be of interest. Accurate Interpretable Machine Learning Models https://www.statcan.gc.ca/en/data-science/network/decision-making Keith O'Rourke (k_orourke@rogers.com).