Artificial intelligence algorithms need large quantities of information. The techniques utilized to obtain this data have raised issues about privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continually collect individual details, raising issues about intrusive information gathering and unapproved gain access to by third celebrations. The loss of personal privacy is more exacerbated by AI's ability to procedure and combine huge quantities of information, possibly causing a security society where specific activities are constantly kept an eye on and evaluated without adequate safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded countless personal conversations and permitted momentary employees to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring 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 personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have developed numerous strategies that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have begun to see personal privacy in regards to fairness. Brian Christian wrote that professionals have actually rotated "from the question of 'what they understand' 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