Copyright in the Age of AI: Examining Ownership of AI-Generated Works 

The rapid advancement of generative artificial intelligence (AI) has raised intriguing questions about the copyrightability of AI-generated output. As AI systems become increasingly capable of producing what we would commonly consider original creative works, it becomes essential to examine the copyright implications and ask ourselves who, if anyone, can claim copyright to the output of … Read more

ChatGPT and Privacy Concerns in Healthcare

If you are building or thinking about using an application based on OpenAI’s ChatGPT or another large language model (LLM) which will collect or otherwise access health information, you may have to comply with some of the strictest data protection laws currently in force. If your business offers its services in the US, this Mobile … Read more

HIPAA Compliance & Protecting Healthcare Data Using Private AI

Healthcare organizations are required to perform a delicate balancing act between healthcare data protection and disclosure of high utility data to further research and innovation leading to better healthcare services. There will often be a trade-off between these two interests, as excluding or altering data in an effort to protect individuals’ privacy regularly comes at … Read more

What is PHI?

PHI stands for “Protected Health Information” and can include information about an individual such as blood type, condition, injury, etc. This term is subject to a lengthy and complex definition in a regulation under the US Health Insurance Portability and Accountability Act of 1996 (HIPAA), which we will examine in detail below. The term is … Read more

What is PCI?

PCI is often mentioned in the triage PII, PHI and PCI in the context of data protection. PCI stands for “Payment Card Industry” data, which includes information such as bank account numbers, credit card numbers, card expiration dates, CVV numbers, etc. This article zeroes in on PCI and explains what data is captured under this … Read more

GDPR in Germany: Challenges of German Data Privacy

GDPR in Germany - GDPR stars with German flag

With more than 100 million German speakers worldwide, there are many use cases for redacting personal data from German text, including compliance with the GDPR in Germany and elsewhere. With many privacy-preserving de-identification solutions being optimized for English, you might expect that transferring the same approaches to its close linguistic relative, German, would be simple. … Read more

What is PII?

computer screen with finger print, lock, password field

With data privacy becoming an increasingly hot topic as major data breaches make headlines around the globe, the biggest question typically is: “What PII was exposed?” But what is PII? PII stands for “Personally Identifiable Information.” It generally refers to any information that can be used to identify a particular person such as names, credit … Read more

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Language Packs

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

Rappel

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.

99.5%+ Accuracy

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.