Source: FisherPhillips

This article from the law firm FisherPhillips addresses the critical need for strong AI governance, with a particular focus on the principle of data minimization, especially as 5G technology accelerates data collection and processing. Data minimization, a core concept in privacy laws like the GDPR, dictates that organizations should only collect and process personal data that is strictly necessary for a specified purpose. The authors argue that applying this principle to AI systems is essential for mitigating legal and ethical risks.

The piece explains that feeding AI models with excessive or irrelevant data not only increases the risk of privacy violations but can also introduce biases and lead to inaccurate or unfair outcomes. By adopting a data minimization strategy, companies can reduce their data storage costs, shrink their potential attack surface for cyber threats, and more easily comply with data subject rights requests. The article advises businesses to build data minimization into the design phase of their AI systems, creating a foundational element of a comprehensive and responsible AI governance framework.