Blog

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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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.

EU AI Act Final Draft – Obligations of General-Purpose AI Systems relating to Data Privacy

After a political deal had been reached on December 8, 2023, we now have an unofficial draft of the EU AI Act.

FTC Privacy Enforcement Actions Against AI Companies

In the US, there is, as of yet, no comprehensive federal privacy legislation, but there is a federal agency, the Federal Trade Commission (FTC), that is at the forefront of notable enforcement actions.

The CCPA, CPRA, and California's Evolving Data Protection Landscape

The California Consumer Privacy Act (CCPA) has been in effect since January 1, 2020, and it has impacted the way businesses collect, use, and protect consumers’ personal information considerably.

HIPAA Compliance – Expert Determination Aided by Private AI

In the contemporary landscape of health information technology, the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule sets a national standard for the protection of individuals’ medical records and other protected health information (PHI).

EU's Review of Canada's Data Protection Adequacy: Implications for Ongoing Privacy Reform

The European Union’s recent review of Canada’s data protection adequacy, a follow-up to the initial adequacy decision made in 2001, offers an insightful perspective into Canada’s compliance with evolving international data privacy standards.

Reviewing OpenAI's 31st Jan 2024 Privacy and Business Terms Updates

Recent updates to Open AI privacy policies, terms of use applicable to individuals, and business terms have sparked the interest of the privacy and business community.

ISO/IEC 42001: A New Standard for Ethical and Responsible AI Management

Artificial Intelligence (AI) has infiltrated various sectors of our lives, leading to an urgent need for standardized frameworks to ensure its ethical and responsible use.

Comparing OpenAI vs. Azure OpenAI Services

OpenAI is an organization known for developing a variety of artificial intelligence (AI) models and tools, which are accessible through various platforms and services. Microsoft Azure is a cloud computing platform that offers a range of services and tools for building, deploying, and managing applications.

Version 3.6 Release: Enhanced Streaming, Auto Model Selection, and More in Our Data Privacy Platform

Hello, dear community! We are thrilled to announce Private AI’s final release of 2023 with Version 3.6. Let’s explore what’s new and enhanced in this version.

Demystifying De-identification

Understanding key tech for data protection regulation compliance

Part 1: Homomorphic Encryption for Beginners

We cover the basics of homomorphic encryption, followed by a brief overview of open source HE libraries and a tutorial on how to use one of those libraries (namely, PALISADE).

Why is Privacy-Preserving NLP Important?

A number of people ask us why we should bother creating NLP tools that preserve privacy. Apparently not everyone spends hours thinking about data breaches and privacy infringements.