The Canadian healthcare and health tech space is robust and growing at warp speed. Globally health tech, especially in the AI field, is evolving much faster than privacy legislation can keep pace. As such, with most sensitive of data at hand, this conundrum is becoming a complex space to navigate in the Canadian privacy legislative spectrum … Read more
In the previous episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sat down with Dr. Sarah Shoker (Research Scientist at Open AI) to discuss her recent work on the responsible use of AI. Dr. Shoker is part of the policy research team at Open AI on the policy research team … Read more
Personally Identifiable Information (PII) is any data that can be used to identify an individual. This can be done using direct identifiers (name, social security number, etc.) which are unique to an individual, or using quasi-identifiers (date of birth, race, postal code, etc.) which in isolation cannot pinpoint an individual, but in conjunction with multiple … Read more
Carole Piovesan discusses legal responsibilities, what companies are getting wrong with data governance, and more.
AI is rapidly being deployed around the world with few to follow. Along with the complexity of creating the technology, there remain many unanswered legal questions.
Testé sur un ensemble de données composé de données conversationnelles désordonnées contenant des informations de santé sensibles. Téléchargez notre livre blanc pour plus de détails, ainsi que nos performances en termes d’exactitude et de score F1, ou contactez-nous pour obtenir une copie du code d’évaluation.
Number quoted is the number of PII words missed as a fraction of total number of words. Computed on a 268 thousand word internal test dataset, comprising data from over 50 different sources, including web scrapes, emails and ASR transcripts.
Please contact us for a copy of the code used to compute these metrics, try it yourself here, or download our whitepaper.
