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

AI-powered devices 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 privacy is additional exacerbated by AI's capability to procedure and combine huge amounts of information, potentially leading to a surveillance society where individual activities are constantly monitored and evaluated without adequate safeguards or openness.

Sensitive user data gathered may include online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded countless private conversations and allowed short-lived employees to listen to and transcribe some of them. [205] Opinions about this extensive monitoring variety from those who see it as a needed evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206]
AI designers argue that this is the only way to deliver valuable applications and have developed several strategies that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually begun to see personal privacy in terms of fairness. Brian Christian composed that professionals have actually rotated "from the concern of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code