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

AI-powered gadgets and services, such as virtual assistants and IoT products, continually gather personal details, raising concerns about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of privacy is additional worsened by AI's capability to process and combine large quantities of data, potentially leading to a surveillance society where specific activities are constantly monitored and evaluated without sufficient safeguards or openness.

Sensitive user information gathered might consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has tape-recorded millions of personal conversations and allowed short-lived workers to listen to and transcribe some of them. [205] Opinions about this extensive security range from those who see it as a necessary evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI designers argue that this is the only way to provide important applications and have established a number of strategies that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, surgiteams.com such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian wrote that experts have actually rotated "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code