Artificial intelligence algorithms need large amounts of information. The strategies used to obtain this data have raised issues about privacy, monitoring and copyright.

AI-powered gadgets 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 celebrations. The loss of privacy is further intensified by AI's capability to process and combine huge amounts of data, possibly leading to a security society where specific activities are constantly kept track of and examined without sufficient safeguards or transparency.

Sensitive user data gathered might include online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has recorded millions of private conversations and allowed temporary workers to listen to and transcribe some of them. [205] Opinions about this widespread security 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 valuable applications and have actually developed a number of techniques that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually begun to view privacy in terms of fairness. Brian Christian wrote that specialists have actually rotated "from the concern of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code