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

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously collect personal details, raising concerns about intrusive information event and unapproved gain access to by third parties. The loss of personal privacy is further exacerbated by AI's ability to procedure and combine huge amounts of data, possibly causing a surveillance society where private activities are continuously kept track of and analyzed without sufficient safeguards or openness.

Sensitive user information collected may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has taped millions of personal conversations and allowed momentary employees to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring range from those who see it as a required evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI developers argue that this is the only way to deliver valuable applications and have actually developed numerous methods that try 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 started to view personal privacy in regards to fairness. Brian Christian wrote that specialists have actually rotated "from the question 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 system code