Artificial intelligence algorithms need large quantities of data. The strategies used to obtain this information have actually raised concerns about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, constantly gather individual details, raising concerns about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is additional exacerbated by AI's capability to procedure and combine large amounts of data, possibly causing a monitoring society where individual activities are continuously kept an eye on and evaluated without adequate safeguards or openness.

Sensitive user information collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has taped millions of personal discussions and allowed momentary employees to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance variety from those who see it as an essential evil to those for whom it is plainly dishonest 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 strategies that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have started to see privacy in regards to fairness. Brian Christian wrote that specialists have actually rotated "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code