Safeguarding health data used for machine-learning – Part 3

Webinar: Data Privacy in Healthcare Friday, April 19th – 1pm EST Sign up now Privacy Attacks against Data and AI Models Part 1 of this series covers the benefits of AI models in healthcare and the data sources available for training such models. Part 2 addresses privacy compliance challenges as well as challenges surrounding privacy-preserving … Read more

Safeguarding health data used for machine-learning – Part 2

Webinar: Data Privacy in Healthcare Friday, April 19th – 1pm EST Sign up now Risks of Noncompliance and Challenges around Privacy-Preserving Techniques Despite the promising signs of AI used in healthcare that we explored in Part 1 of this series, ethical concerns persist regarding the potential misuse of these innovations. For instance, drug discovery AI … Read more

Navigating GDPR Compliance in the Life Cycle of LLM-Based Solutions

In today’s data-driven landscape, the use of AI-based solutions, such as ChatGPT, has become increasingly prevalent. These solutions leverage the power of artificial intelligence to analyze data, generate insights, and facilitate interactions with users. However, with the rise of AI technologies, it is crucial to consider the implications for data protection and privacy, particularly in … Read more

How to Protect Your Business from Data Leaks: Lessons from Toyota and the Department of Home Affairs

Data leaks are a serious threat to any business, and particularly those handling sensitive personal information, such as customer’s financial or health records. We discussed the costs of data breaches previously in this blog post. But even when no malicious actors are involved, data leaks can expose businesses to legal liability, reputational damage, and loss … Read more

New York’s Acceptable Use of AI Policy: A Focus on Privacy Obligations

New York

New York State has taken a step towards ensuring responsible and ethical use of Artificial Intelligence (AI) technologies in the public sector through its newly established Acceptable Use of Artificial Intelligence Technologies policy. This policy, issued by the New York State Office of Information Technology Services (ITS), aims to guide state government in leveraging AI … Read more

Changes to South Korea’s Personal Information Protection Act to Take Effect on March 15, 2024

South Korea’s Personal Information Protection Act was substantially revised in March of 2023. In addition, an Enforcement Decree was announced last November, which is scheduled to take effect on March 15, 2024. The sum of changes encompasses revised fines, strengthened rights of individuals in some areas and greater flexibility for processors in others. March 2024 … Read more

Australia’s Plan to Regulate High-Risk AI

In mid-January 2024, Australia’s Minister for Industry and Science, Ed Husic, unveiled the government’s response to the Safe and Responsible AI in Australia consultation. The response, shaped by feedback from last year’s consultation on AI, incorporates over 500 submissions from individuals as well as businesses. These submissions expressed enthusiasm for AI tools’ potential while also … Read more

How Private AI can help comply with the EU AI Act

On March 13, the European Parliament crossed another and (almost) the last hurdle for the EU AI Act to come into force. Anticipated to become law by May or June, it will see its provisions phased in: six months later, countries will be mandated to ban prohibited AI systems; one year later, regulations for general-purpose … 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.