Skip to content
Inherent Privacy Logo Inherent Privacy

AI

Introduction

Artificial Intelligence has evolved from academic research in the 1950s to become a ubiquitous presence in our daily lives. While AI technologies offer unprecedented capabilities in areas like language processing, image recognition, and decision-making, they also raise significant privacy concerns. The massive data requirements for AI training and the potential for both intentional and unintentional privacy breaches make understanding AI privacy essential in today’s digital world.

Providers

Large Language Model Providers

Companies like OpenAI (ChatGPT), Anthropic (Claude), and Google (Gemini) offer powerful AI models that process user inputs and potentially sensitive information. Their data handling practices and model training methods have faced scrutiny over privacy implications.

AI-Powered Services

Companies like Microsoft (Copilot), Adobe (Firefly), and Amazon (Alexa) integrate AI into everyday tools. These services often collect user data for personalization and model improvement, raising concerns about data retention and use.

Computer Vision Companies

Providers like Clearview AI and PimEyes offer facial recognition services that can identify individuals across vast databases of images, often collected without explicit consent. Their services have faced legal challenges and privacy concerns.

Open Source AI

Projects like Llama, Stable Diffusion, and LocalAI offer alternatives that can be run locally, potentially providing better privacy but requiring technical expertise to implement securely.

Recommendations

  1. Be cautious about sharing sensitive information with AI systems
  2. Use local or self-hosted AI solutions when possible
  3. Review privacy policies of AI services carefully
  4. Understand how your data may be used for training
  5. Consider the privacy implications of AI-generated content
  6. Use privacy-preserving AI tools when available
  7. Be aware of AI’s potential for surveillance and tracking

Actions

  • Review which AI services have access to your data
  • Delete or opt out of AI service data collection where possible
  • Install local AI alternatives for sensitive tasks
  • Check privacy settings in AI-powered apps
  • Remove personal information from AI training data requests
  • Use AI content detection tools to protect privacy
  • Enable privacy-preserving features in AI tools