Ensuring Data Privacy: 20 Best Practices For Businesses In The AI Age

November 28, 2023

Across industries, artificial intelligence is quietly (and not so quietly) enhancing business operations in a variety of ways, from streamlining processes to improving customer experiences (and everything in between). However, effective AI solutions require data, and much of that data comprises sensitive customer or proprietary business information.

As AI is increasingly integrated into everyday operations, organizations need to ensure they establish and follow robust, holistic data privacy practices—and the customers they serve need to know that they do. Below, 20 members of Forbes Technology Council discuss essential, effective data privacy practices every business should understand and employ.

#6. Remove Unnecessary Sensitive Data

In today’s increasingly AI-driven business world, a key practice for protecting data privacy is to carefully remove unnecessary sensitive information from datasets before using them in AI algorithms. This vital step helps prevent accidental sharing or misuse of privacy-sensitive data, ultimately strengthening an organization’s commitment to responsible AI usage in modern business. – Jeff White, Gravy Analytics

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