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Artificial intelligence and large language models (LLMs) are transforming the way we work, and the boundaries of data privacy are being tested like never before. While most organizations have measures in place to secure their proprietary algorithms and internal data repositories, there’s a growing challenge that can’t be overlooked: the uncontrolled sharing of Confidential Company Information (CCI) by users interacting with third-party AI systems.

The US insurance industry operates under a complex landscape of privacy laws and regulations designed to protect consumers’ personal information. At the heart of this regulatory framework are standards developed by the National Association of Insurance Commissioners (NAIC), alongside federal and state laws like the Gramm-Leach-Bliley Act (GLBA).

The Belgium Data Protection Authority’s recent report, Artificial Intelligence Systems and the GDPR: A Data Protection Perspective, is a timely analysis exploring the interplay of the General Data Protection Regulation (GDPR) and the EU Artificial Intelligence (AI) Act.

Quebec’s new Act Respecting Health and Social Services Information (ARHSSI) introduces a notable tightening of data privacy requirements within the province, with a distinct emphasis on safeguarding health and social services information.

In the fast-evolving world of AI, where data is at the core of decision-making, one challenge remains constant: ensuring appropriate privacy and protection of an individual’s and an organization’s data. At Private AI, we’ve been working on solving this challenge with the introduction of Coreference Resolution as part of our 4.0alpha release.

We previously wrote about Unlocking Compliance with the Japanese Data Privacy Act (APPI) using Private AI and are now following up with an assessment of the Interim Report on Considerations for the Triennial Review of the Act on Protection of Personal Information (Interim Report).

Thailand’s Personal Data Protection Act (PDPA) was signed into law in 2019 and came into force in mid 2022. It is in many ways inspired by Europe’s General Data Protection Regulation (GDPR) but with some notable differences, e.g., potential prison time for violations in addition to criminal and administrative fines and a greater social good carve-out from the consent requirement when processing sensitive information.

The Office of the Superintendent of Financial Institutions (OSFI) has set forth guidelines to ensure that Federally Regulated Financial Institutions (FIs) maintain robust data security, risk management, and operational resilience. Private AI’s advanced machine learning and natural language processing technologies provide helpful tools that can help FRFIs meet these requirements efficiently and effectively.

For the longest time, the US was one notable outlier in the global trend of developing federal-level comprehensive privacy laws.

China’s Personal Information Protection Law (PIPL) that come into force November 1, 2021 sets out stringent requirements for the handling,

User reviews have become a crucial element for businesses seeking to understand consumer sentiment, improve products, and build trust with their audience.

An independent evaluation has confirmed that Private AI’s Personal Identifying Information (PII) identification model is both highly effective and secure.

AI has undoubtedly taken over the world, becoming an indispensable tool for companies looking to maintain a competitive edge. The global artificial intelligence market size was estimated at USD 196.63 billion in 2023 and is projected to grow at a CAGR of 36.6% from 2024 to 2030.

Acting on its obligations flowing from a 2023 Executive Order, the US Department of Commerce’s National Institute of Standards and Technology (NIST) has recently released two new tools to aid companies developing Generative AI models (GenAI) do so responsibly and securely.

Under the APPI, businesses must adhere to strict rules regarding the processing of personal information, in particular when it comes to the disclosure or transfer of such information.

As the European Union continues to strengthen its data protection and artificial intelligence (AI) regulations, organizations are seeking innovative ways to ensure compliance. Private AI, a cutting-edge approach to machine learning that prioritizes data privacy, has emerged as a powerful tool in this landscape.

Personally identifiable information (PII) is any data that can be used to identify an individual directly or indirectly, such as their name, social security number, date of birth, gender, ZIP code, and more.