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Sometimes we take a break from building cutting edge AI redaction models to stretch our academic muscles and write about privacy and machine learning.

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A Comparison of the Approaches to Generative AI in the US and EU

Generative AI has become a cornerstone of modern technology, with potential applications ranging from content creation and customer service to scientific research and healthcare.

Privacy Attacks against Data and AI Models (Part 3)

This last part of our series gets a bit more technical when discussing attacks on AI Models with the goal of obtaining illicit access to the data, as well as re-identification attacks launched against the data used by AI developers to train the model.

Risks of Noncompliance and Challenges around Privacy-Preserving Techniques (Part 2)

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 and safeguarding health data.

Benefits of AI in Healthcare and Data Sources (Part 1)

AI is revolutionizing medicine by venturing into uncharted territories and addressing significant global healthcare challenges.

Enhancing Data Lake Security: A Guide to PII Scanning in S3 buckets

Data lakes are messy with vast amounts of data scattered everywhere as they serve as repositories for a myriad of structured and unstructured data.

The Costs of a Data Breach in the Healthcare Sector and its Privacy Compliance Implications

About a year ago we covered the 2022 Cost of a Data Breach Report by IBM. The 2022 report had surfaced that the cost was highest in the healthcare and financial industry, followed by pharmaceuticals and technology.

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.

What’s New in Version 3.8

Hello, dear community! We continue to see exciting improvements released since 3.7. Here is a synopsis of highlights from the version 3.8 updates release.

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.

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

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.

Safeguarding Personal Data in Sentiment Analysis: A Guide to PII Anonymization

Let’s say you need to run sentiment analysis on a PII in dataset of reviews. You will use one of the pre-trained models offered by HuggingFace. There is only one problem: Your reviews contain names, addresses, and other Personal Identifiable Information (PII). What should you do?

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

South Korea 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.

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.

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.

How Law25 Impacts the Use of ChatGPT and AI in General

In the age of rampant AI development, data protection laws are no longer a tick-box exercise but a cornerstone of responsible technology usage.

Is Salesforce Law25 Compliant?

Although they hardly need an introduction, Salesforce is a cloud-based customer relationship management (CRM) service that allows businesses to efficiently connect with their customers, find prospects, close deals, automate marketing, develop apps, and analyze their data to draw out valuable insights.

Creating De-Identified Embeddings

Embeddings are an increasingly popular data science tool, used across the industry for various solutions.

Exciting Updates in 3.7

We are excited to share the details of our latest platform updates, which brings significant enhancements across various domains.