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

AI-powered devices and services, such as virtual assistants and IoT products, continuously collect personal details, wiki.lafabriquedelalogistique.fr raising issues about intrusive data gathering and unapproved gain access to by third celebrations. The loss of personal privacy is further exacerbated by AI's capability to procedure and combine huge quantities of information, possibly resulting in a surveillance society where individual activities are continuously kept an eye on and analyzed without appropriate safeguards or openness.

Sensitive user information collected 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 private conversations and allowed short-lived workers to listen to and transcribe some of them. [205] Opinions about this extensive monitoring 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 privacy. [206]
AI developers argue that this is the only way to provide valuable applications and have actually established several strategies that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian composed that professionals have rotated "from the question of 'what they understand' to the question 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 system code