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

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously gather personal details, raising concerns about invasive data event and unapproved gain access to by 3rd parties. The loss of personal privacy is more intensified by AI's ability to process and combine huge amounts of data, possibly causing a surveillance society where private activities are continuously kept track of and analyzed without adequate safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has actually taped millions of personal discussions and permitted temporary employees 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 dishonest and a violation of the right to privacy. [206]
AI designers argue that this is the only method to deliver valuable applications and have developed numerous methods 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 professionals, such as Cynthia Dwork, have actually begun to see privacy in terms of fairness. Brian Christian wrote that experts have pivoted "from the question of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code