Artificial intelligence algorithms require big quantities of data. The strategies used to obtain this data have actually raised concerns about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly gather individual details, raising issues about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is further worsened by AI's capability to procedure and integrate huge amounts of information, possibly leading to a monitoring society where specific activities are constantly kept track of and analyzed without sufficient safeguards or openness.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has tape-recorded millions of personal discussions and permitted short-lived employees to listen to and transcribe some of them. [205] Opinions about this widespread surveillance variety from those who see it as a required 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 method to provide important applications and have actually established a number of techniques 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 personal privacy professionals, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian wrote that specialists have pivoted "from the question of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code