THOUGHT LEADERSHIP
AI and Information Governance: How Organizations Can Avoid Privacy Risks By ROBERT KIRTLEY
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rtificial intelligence is already a ubiquitous part of our lives. Whether you realize it or not, you are already interacting with AI. It may help you pick a restaurant on Yelp or guide you to a show to watch on Netflix. Similarly, AI is transforming how organizations collect and manage data. The converging worlds of AI and information governance pose significant privacy risks that legal teams should evaluate carefully.
ADVANTAGES OF AI IN MITIGATING PRIVACY RISKS With the increasing volume of sensitive data, ensuring data security and privacy has become a top priority for organizations. Leading cybersecurity
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firms have already incorporated AI-driven tools to detect and respond to potential threats in real time, minimizing the risk of data breaches, a major contributor to the leakage of private data. These systems use behavioral analysis and anomaly detection to identify suspicious activities, providing a proactive approach to cybersecurity. Additionally, AI can help organizations comply with data protection regulations by automating the identification, deletion, and management of sensitive information. These capabilities are also incorporated into Data Loss Prevention (DLP) tools to reduce the risks of private information leaving the organization.
MAY 2025
PRIVACY RISKS ASSOCIATED WITH THE USE OF AI When integrating AI into an organization’s infrastructure and operations, several key privacy considerations must be addressed to ensure responsible and ethical use:
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Data Collection, Consent, and Leakage AI systems often require vast amounts of data for training and operation. It’s crucial to obtain informed consent from individuals whose data is being collected and used. Organizations must be transparent about the types of data collected and how it will be used, especially if it may be used by an AI tool for training purposes. BACK TO CONTENTS
