WHO’s AI Ethics and Governance Guidance for Large Multi-Modal Models operating in the Health Sector – Data Protection Considerations

The WHO’s publication of its Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models from January 18, 2024 is an almost 100 page document, including over 20 pages of footnotes, which takes a deep dive into the risks and challenges of Large Multi-Modal Models (LMMs) developed, provided, and/or deployed for health … Read more

How to Protect Confidential Corporate Information in the ChatGPT Era

Many of the security measures businesses put in place to protect the personal information of their customers and employees will also help safeguard confidential corporate information. For example, access controls and incident protection systems will help avoid this information getting into the hands of internal and external threat agents. However, if that’s all they do, … Read more

Leveraging ChatGPT and other AI Tools for Legal Services

In recent years, the emergence of artificial intelligence (AI) and machine learning technologies has created new possibilities for various fields, including the legal sector. ChatGPT, an innovative AI language model created by OpenAI, is at the forefront of this transformation. By leveraging the abilities of ChatGPT, legal professionals can modernize their practice, streamline research, and … Read more

Leveraging ChatGPT and other AI tools for HR

In recent years, the advent of artificial intelligence (AI) and machine learning technologies has revolutionized a range of industries, not least of which is Human Resources (HR). ChatGPT, a cutting-edge AI language model by OpenAI, is at the epicenter of this transformation. By tapping into the capabilities of ChatGPT and other AI tools, HR departments … Read more

Leveraging ChatGPT in the Banking Industry

In recent years, the emergence of artificial intelligence (AI) and machine learning technologies has opened up a wealth of opportunities across various sectors, including the banking industry. ChatGPT, an advanced AI language model crafted by OpenAI, is a key player in this technological metamorphosis. By harnessing the capabilities of ChatGPT and other AI tools, banks … Read more

Law25 and Data Transfers Outside of Quebec

The landscape of data protection and privacy has undergone significant transformations worldwide, with Quebec’s Law25 emerging as a pivotal legislative piece within Canada. For many businesses, one of its most crucial aspects revolves around the transfer of personal data outside of Quebec. Given the borderless nature of digital operations, this provision holds profound implications for … Read more

The Colorado and Connecticut Data Privacy Acts

While the recent Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence advocates for a federal privacy law to be enacted, at this time it is still the states leading the way. The Colorado Privacy Act (CPA) and the Connecticut Data Privacy Act (CDPA) came into effect in July, 2023, following California and Virginia. The … Read more

Unlocking Compliance with the Japanese Data Privacy Act (APPI) using Private AI

APPI compliance

In recent years, the global landscape of data privacy regulations has evolved significantly, with countries enacting stringent laws to protect individuals’ personal information. Japan is no exception, with its comprehensive data protection legislation, the Act on the Protection of Personal Information (APPI), playing a pivotal role in safeguarding privacy rights within the nation’s digital ecosystem. … Read more

Tokenization and Its Benefits for Data Protection

Tokenization Benefits Data Protection

Tokenization is an increasingly popular method used in data security, especially in areas that require the handling of sensitive data like financial transactions. But what exactly is tokenization, and how does it bolster data protection? What is Tokenization? Tokenization is the process of substituting a sensitive data element with a non-sensitive equivalent, referred to as … Read more

Processing of Special Categories of Data in Germany

Data in Germany

The European Union’s General Data Protection Regulation (GDPR) regulates what kind of processing is permitted that involves “special categories of data,” which includes race, origin, religious belief, and health data, among others. As an EU regulation, the GDPR has immediate effect in all member states without requiring any national implementation. This ensures that a certain … 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.