On February 8, 2023, the International Organization for Standardization adopted privacy by design in ISO 31700:2023 as a voluntary standard for organizations to implement into their operations. The adoption of this standard further manifests a shift in the field of data privacy. After Article 25 of the GDPR made it a mandatory requirement, the ISO … Read more
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.
Fill out the form below and we’ll send you a free API key for 500 calls (approx. 50k words). No commitment, no credit card required!
Expand the categories below to see which languages are included within each language pack.
Note: English capabilities are automatically included within the Enterprise pricing tier.
French
Spanish
Portuguese
Arabic
Hebrew
Persian (Farsi)
Swahili
French
German
Italian
Portuguese
Russian
Spanish
Ukrainian
Belarusian
Bulgarian
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
Greek
Hungarian
Icelandic
Latvian
Lithuanian
Luxembourgish
Polish
Romanian
Slovak
Slovenian
Swedish
Turkish
Hindi
Korean
Tagalog
Bengali
Burmese
Indonesian
Khmer
Japanese
Malay
Moldovan
Norwegian (Bokmål)
Punjabi
Tamil
Thai
Vietnamese
Mandarin (simplified)
Arabic
Belarusian
Bengali
Bulgarian
Burmese
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
French
German
Greek
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Italian
Japanese
Khmer
Korean
Latvian
Lithuanian
Luxembourgish
Malay
Mandarin (simplified)
Moldovan
Norwegian (Bokmål)
Persian (Farsi)
Polish
Portuguese
Punjabi
Romanian
Russian
Slovak
Slovenian
Spanish
Swahili
Swedish
Tagalog
Tamil
Thai
Turkish
Ukrainian
Vietnamese
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.
