Artificial intelligence algorithms need big amounts of data. The strategies utilized to obtain this data have raised issues about personal privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect personal details, raising concerns about intrusive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is more worsened by AI's capability to procedure and integrate vast amounts of data, possibly causing a security society where individual activities are constantly kept track of and analyzed without appropriate safeguards or transparency.

Sensitive user data gathered may include online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has taped countless personal discussions and permitted temporary employees to listen to and transcribe some of them. [205] Opinions about this widespread monitoring range from those who see it as an essential evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
AI designers argue that this is the only method to provide valuable applications and have developed numerous strategies that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to view personal privacy in regards to fairness. Brian Christian wrote that professionals have pivoted "from the question of 'what they understand' to the concern of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code