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

AI-powered devices and services, such as virtual assistants and IoT items, constantly collect personal details, raising issues about invasive information gathering and unauthorized gain access to by 3rd parties. The loss of privacy is further exacerbated by AI's capability to process and combine huge amounts of information, possibly causing a security society where specific activities are continuously kept track of and examined without sufficient safeguards or openness.

Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded countless personal discussions and wiki.rolandradio.net allowed temporary workers to listen to and transcribe some of them. [205] Opinions about this prevalent security variety from those who see it as a required evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to provide important applications and have actually developed a number of techniques that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually started to view personal privacy in regards to fairness. Brian Christian wrote that experts have pivoted "from the concern of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code