AI models use various forms of data for training, depending on the objectives set by organizations and individuals who train the AI models.
Securing as much data as possible is important for developing AI models, as the sophistication of the model ultimately depends on the quantity and quality of data.
However, data ownership issues frequently arise in this process.
Example: Common cases include creators or companies collecting text, photos, and videos from social media users without permission, or using others’ research data and works without authorization. This leads to violations of intellectual property rights of individuals and organizations and causes disputes.
