Artificial intelligence algorithms require large amounts of information. The techniques used to obtain this data have raised concerns about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously gather individual details, raising concerns about intrusive information gathering and unauthorized gain access to by third celebrations. The loss of privacy is additional exacerbated by AI's ability to process and combine vast quantities of information, possibly causing a security society where specific activities are continuously monitored and analyzed without sufficient safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has actually tape-recorded millions of private conversations and allowed momentary workers to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance variety from those who see it as a needed evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI designers argue that this is the only method to deliver important applications and have developed numerous methods that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian composed that specialists have actually rotated "from the concern of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code