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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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Canada’s federal Personal Information Protection and Electronic Documents Act (PIPEDA) has been a benchmark for businesses in managing personal information. However, for organizations operating
There are two types of fines under the GDPR with different monetary thresholds. The first are administrative fines under Art. 83(4) for less severe
India’s Digital Personal Data Protection Bill, 2023, a landmark legislation that aims to protect the privacy rights of Indian citizens in the digital age,
When organizations think about how to collect, use, and disclose personal data in compliance with privacy laws, the first thing that usually comes to
New Zealand updated its data protection law with the Privacy Act 2020, which came into force on December 1, 2020. This law replaces the
In response to growing consumer demand for privacy, Apple introduced App Tracking Transparency (ATT) as a feature in 2021, enabling users to choose whether
With OpenAI’s and Azure OpenAI’s API offerings, businesses are enabled to develop their own applications on top of the powerful large language models (LLMs)
The rapid advancement of generative artificial intelligence (AI) has raised intriguing questions about the copyrightability of AI-generated output. As AI systems become increasingly capable
Bill C-27, which includes the proposed Consumer Privacy Protection Act (“CPPA”), the Personal Information and Data Protection Tribunal Act and the Artificial Intelligence and
Healthcare organizations are required to perform a delicate balancing act between healthcare data protection and disclosure of high utility data to further research and
If your organization ever finds itself in the position of wishing or having to disclose personally identifiable information (PII), e.g., to third parties for
ChatGPT took the world by storm, and companies everywhere are leveraging the OpenAI tool to streamline their processes, improve productivity, and enhance customer experience.
With more than 100 million German speakers worldwide, there are many use cases for redacting personal data from German text, including compliance with the
This guide is for you if you already know what Law25 is and have read some of the other excellent materials out there that
In this blog post, we examine the two types of Personal Identifiers: direct and quasi- (or indirect) identifiers, why we care about distinguishing them,
Structured, Semi-Structured, and Unstructured Data: What’s the Difference and What Challenges Do They Pose for Data Processing and Protection?
Data protection is a critical concern in today’s digital world. As more and more data are collected and processed, the need for effective data
How Personal Data Identification and Redaction Can Help Satisfy Privacy by Design – ISO 31700-1:2023
On February 8, 2023, the International Organization for Standardization adopted privacy by design in ISO 31700:2023 as a voluntary standard for organizations to implement
Large language models (LLMs) are a type of machine learning model that are trained on vast amounts of text data to generate human-like text.
Why The Right To Be Forgotten Is Even Harder To Comply With Than You Think (And What To Do About It)
In today’s data-driven world, businesses are constantly collecting information from their customers in order to provide a better product or service, to understand and
The Canadian healthcare and health tech space is robust and growing at warp speed. Globally health tech, especially in the AI field, is evolving much
Differential privacy is a hot topic given the many conflicting opinions on its effectiveness. For some background, we previously wrote a comprehensive post on
Over the years, large pre-trained language models like BERT and Roberta have led to significant improvements in natural language understanding (NLU) tasks. However, these
At Private AI, we are building a privacy suite centered around personally identifiable information (PII) detection and remediation in unstructured data, such as text. Users interact with
In the previous episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sat down with Dr. Sarah Shoker (Research Scientist
Personally Identifiable Information (PII) is any data that can be used to identify an individual. This can be done using direct identifiers (name, social
Previously on Private AI’s speaker series CEO, Patricia Thaine, sat down with Franziska Boenisch to discuss her latest paper, ‘When the Curious Abandon Honesty: Federated Learning Is Not Private’.
With the ever-growing number of global regulations, legislations, and amendments, it can be overwhelming to know where to start (or continue) your data privacy
Previously on Private AI’s Speaker Series, our CEO Patricia Thaine sat down with data privacy law expert Carol Piovesan to talk about the legal
Data privacy, in simplest terms, is the right to control how your personal information is collected and used. Although this may seem obvious, it
Carole Piovesan discusses legal responsibilities, what companies are getting wrong with data governance, and more.
Discussing developer responsibility, Bill C-11, positive consent, and the importance of Privacy by Design
On the misleading ways journalists and industry use the term “anonymization.”
There’s a saying ‘the last 20% of the work takes 80% of the time’ and nowhere is that more true than AI systems.
AI is rapidly being deployed around the world with few to follow. Along with the complexity of creating the technology, there remain many unanswered legal questions.
A very brief overview of privacy-preserving technologies follows for anyone who’s interested in starting out in this area. I cover symmetric encryption, asymmetric encryption, homomorphic encryption, differential privacy, and secure multi-party computation.