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AI Training Data Rights

Is scraping public data legal for AI training?

It's a grey area. While data is public, website terms often prohibit scraping. Also, copyright and privacy laws still apply to the content itself.

What is the risk of using "dirty" data?

Legal risks include copyright lawsuits, fines for privacy violations, and the potential court order to destroy your trained model.

How to legally acquire training datasets?

Use open-source datasets with appropriate licenses (e.g., CC0), purchase data from legitimate providers, or create your own synthetic data.

Does fair use apply to AI training?

This is currently being debated in courts worldwide. Relying solely on fair use is risky; licensing is a safer strategy.

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AI Training Data Rights is a key legal issue for AI developers. The quality of an AI model depends on the data it learns from (Training Data). Often, companies use "Web Scraping" (automated data collection from the internet) to fill their databases. This practice carries enormous legal risks: copyright infringement (if data is protected), violation of website terms of use, and illegal processing of personal data. If a court finds that a model was trained on "stolen" data, the company may be forced to destroy the model (Model Disgorgement), resulting in millions of dollars in losses.

Our service aims to legalize the data acquisition process. The service covers:

  • Data Source Audit: Checking used datasets for copyright and licenses (e.g., Creative Commons, Public Domain).
  • Licensing Agreements: Contracting with data providers for commercial use of data.
  • Web Scraping Legal Analysis: Reviewing specific websites' Terms of Service and assessing risks of automated data collection.
  • Synthetic Data: Legal aspects of using alternative, artificially generated data.
  • TDM (Text and Data Mining) Exceptions: Utilizing exceptions in copyright law for research and commercial purposes.

Let's consider practical examples. A startup develops AI to create music and trains the model on songs downloaded from YouTube. This is massive copyright infringement. The legal way is to buy a license or use music in the public domain. Second example: A company scrapes LinkedIn profiles for an HR algorithm. This violates LinkedIn's rules and data privacy laws. Third case: A researcher uses scientific articles to train a model. Under Georgian law, this might be allowed for personal use, but commercialization requires permission.

In Georgia, this field is regulated by the Law on Copyright and Related Rights and the Civil Code. In the EU, the DSM Directive regulates TDM (Text and Data Mining). Georgia is moving towards these standards. The main principle is: publicly available information on the internet does not mean it is free to use for any purpose.

Specialists create a "Data Acquisition Protocol." This document defines which sources are safe, how data should be stored, and how it should be "cleaned" of personal information. This protocol acts as a protective shield for the company during litigation.

Legal.ge gives you access to IP lawyers who understand the data economy. Clean data means clean business. Protect your AI model from legal risks with Legal.ge.

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