Microsoft Updates Policy on Azure OpenAI Service, Restricts Law Enforcement from Facial Recognition

Microsoft Updates Policy on Azure OpenAI Service, Restricts Law Enforcement from Facial Recognition
Table of Contents
1Microsoft Updates Policy on Azure OpenAI Service, Restricts Law Enforcement from Facial Recognition
Azure OpenAI Service
Ban on Facial Recognition
Application of OpenAI Models
Impact on Law Enforcement Technology
Code of Conduct
Expansion of Restrictions
Other Prohibited Use Cases

Microsoft has revised its Azure OpenAI Service policy, prohibiting law enforcement agencies from utilizing the service for facial recognition purposes.

Azure OpenAI Service

The Azure OpenAI Service grants access to models such as GPT-4 Turbo and DALL-E for Microsoft's cloud customers.

Ban on Facial Recognition

Microsoft now explicitly prohibits U.S. police departments from employing OpenAI models for facial recognition tasks.

Application of OpenAI Models

While facial recognition systems primarily rely on visual data, OpenAI models like GPT-4 could potentially enhance related processes, such as improving user interfaces or generating natural language responses.

Impact on Law Enforcement Technology

This update comes after Axon Enterprise's recent unveiling of an AI-powered tool for summarizing audio from police body cameras.

Code of Conduct

The Azure OpenAI Service's Code of Conduct specifies that its models cannot be used for real-time facial recognition technology by law enforcement globally.

Expansion of Restrictions

The ban extends to officers using body-worn or dashboard cameras, including potential use cases by French police at the upcoming Paris Olympics.

Other Prohibited Use Cases

Microsoft's policy also prohibits the use of OpenAI models for manipulating or deceiving individuals, creating romantic chatbots, and implementing social scoring systems.

Microsoft's updated policy underscores its commitment to responsible AI usage, restricting the application of OpenAI models in certain contexts, particularly in law enforcement and privacy-sensitive areas.