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

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather individual details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is more intensified by AI's ability to procedure and combine large amounts of data, possibly causing a security society where individual activities are continuously kept track of and analyzed without adequate safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has actually recorded millions of personal discussions and allowed temporary workers to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance range from those who see it as a necessary evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
AI developers argue that this is the only way to provide valuable applications and have developed a number of techniques that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian composed that experts have actually rotated "from the question of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code