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Data transfer risk for AI

Data transfer risk for AI

Risks associated with input
Training and tuning phase
Data laws
Traditional

Description

Laws and other restrictions that apply to the transfer of data can limit or prohibit transferring or repurposing data from one country to another. Repurposing data can be further restricted within countries or with local regulations.

Why is data transfer a concern for foundation models?

Data transfer restrictions can impact the availability of the data required for training an AI model and can lead to poorly represented data. Failing to comply with data transfer laws might result in fines and other legal consequences.

Background image for risks associated with input
Example

Data Restriction Laws

As stated in the research article, data localization measures which restrict the ability to move data globally will reduce the capacity to develop tailored AI capacities. It will affect AI directly by providing less training data and indirectly by undercutting the building blocks on which AI is built.

Examples include China's data localization laws, GDPR restrictions on the processing and use of personal data, and Singapore's bilateral data sharing.

Parent topic: AI risk atlas

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