AI is hungry for data.
Training and testing the machine-learning tools to perform desired tasks consumes huge lakes of data. More data often means better AI.
Yet gathering this data, especially data concerning people’s behavior and transactions, can be risky. For example, In January of this year, the US FTC reached a consent order with a company called Everalbum, a developer of photography apps. The FTC accused Everalbum of deception and unfairness in collecting and retaining facial recognition data to be used as AI training databases. The FTC not only forced Everalbum to delete the pictures in the database and to cease using the AI program trained on that database. So the entire investment in AI is rendered useless because the data used to train that AI was suspect.
