Artificial intelligence algorithms need large quantities of data. The strategies used to obtain this data have raised issues about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect personal details, raising concerns about intrusive information event and unauthorized gain access to by third parties. The loss of privacy is additional exacerbated by AI's ability to procedure and integrate vast amounts of data, possibly resulting in a surveillance society where specific activities are constantly monitored and examined without appropriate safeguards or openness.

Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded millions of personal conversations and permitted short-lived employees to listen to and transcribe a few of them. [205] Opinions about this widespread security range from those who see it as a necessary evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI developers argue that this is the only method to provide important applications and have actually developed numerous techniques that attempt to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually begun to view privacy in terms of fairness. Brian Christian wrote that experts have actually pivoted "from the concern of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code