Artificial intelligence algorithms need large quantities of information. The techniques used to obtain this information have raised concerns about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously gather personal details, raising issues about intrusive data gathering and unauthorized gain access to by third celebrations. The loss of personal privacy is further exacerbated by AI's capability to procedure and integrate vast amounts of data, possibly causing a surveillance society where individual activities are constantly monitored and examined without sufficient safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has recorded millions of personal discussions and allowed momentary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring variety from those who see it as an essential evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only way to provide important applications and have actually established a number of methods that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to see privacy in terms of fairness. Brian Christian wrote that professionals have pivoted "from the concern of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code