Privacy

On May 3, 2024, the OECD released updated AI Principles that build upon the 2019 version with some notable differences that respond to risks emerging from latest technological developments such as general purpose and generative AI systems. This article contains a summary of the changes as well as a line-by-line comparison of the old and … Read more

Under the General Data Protection Regulation (GDPR), consent is only one of the legal bases that can be used to process personal data, including when using Large Language Models (LLMs) to boost the efficiency of processing personal information. While obtaining consent has its advantages, for example the possibility of a clear audit trail if consent … Read more

The healthcare sector has witnessed a remarkable evolution in data privacy legislation from the 1970s to the present, mirroring the technological innovations of the time. The journey we trace here using Germany as an example illustrates how laws have struggled to adapt to protect and make usable sensitive health information against the backdrop of digital … Read more

Being able to manage the data and information within a company’s infrastructure is critical for properly assessing when sensitive information is either being mismanaged or to report an “all clear” when company policies are being followed as intended. As you may be already aware, Private AI provides PII detection and redaction services to enable companies … Read more

The healthcare sector in the United States has seen a profound transformation in its approach to data privacy, paralleling significant technological advancements, in particular the electronic health record (EHR). This article explores the trajectory of health data protection legislation in the U.S., highlighting key developments in EHR development and adoption and ongoing challenges in balancing … Read more

There are lots of risks involved with implementing AI systems into an organization’s environment, some of which are not even known or knowable at this time. Privacy is one of the ones we have a better shot at getting a handle on right away, though, but we first need to understand the issues associated with … Read more

Twilio Segment is a great centralized platform for storing customer data. However, it’s unlikely Segment will be your only application that needs the data. Most of us will need to download customer information from Segment, store it in the data lake, propagate the data to reporting software, and populate a few backend databases. All of … Read more

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

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

RAG is a popular approach that improves the accuracy of LLMs by utilizing a knowledge base. In this blog post, we illustrate how to implement RAG without compromising the privacy of your data. What is RAG Large language models, such as OpenAI’s gpt-4-turbo and Anthropic’s Claude-3,are very powerful assistants that help us carry out different … Read more