To respond to issues artificial intelligence may raise, the ICO has devised a framework for inspecting AI.
Resources
This report dives deep into exploring various instances of personal data sharing, particularly in the healthcare industry, and reveals the best approaches to secure the protection of such information. Authors start by acknowledging the challenges in safeguarding privacy while sharing data, then move on to uncovering how to intelligently engineer technology and techniques to make […]
The results show that diffusion models are much less private than prior generative models and that mitigating these vulnerabilities may require new advances in privacy-preserving training.
This document delves into privacy-enhancing technologies (PETs) that can mitigate potential risks associated with using sensitive and confidential data.
This guide distills the EU GDPR into five discrete phases to help a business achieve and maintain its GDPR compliance.
This guide is intended for learners who are considering a career in some aspect of IT security. It offers guidance as to the pathways into the sector, what specialties are available, potential earnings, and an overview of the most well-known security qualifications.
This guidance discusses live marketing calls in detail.
This research — conducted independently by Ponemon Institute, and sponsored, analyzed and published by IBM Security — studied 550 organizations impacted by data breaches that occurred between March 2021 and March 2022. The breaches occurred across 17 countries and regions and in 17 different industries. Researchers conducted more than 3,600 interviews with individuals from organizations […]
The purpose of this document is to educate policymakers about transparency in the context of AI systems and offer suggested policy approaches.
The AI RMF is intended for voluntary use to address risks in the design, development, use, and evaluation of AI products, services, and systems.