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

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect individual details, raising concerns about intrusive data event and unapproved gain access to by 3rd parties. The loss of privacy is additional intensified by AI's ability to process and combine huge quantities of data, possibly leading to a surveillance society where specific activities are continuously kept track of and examined without adequate safeguards or openness.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has recorded millions of personal discussions and allowed temporary workers to listen to and transcribe some of them. [205] Opinions about this widespread surveillance variety from those who see it as an essential 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 important applications and have actually developed numerous methods that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have begun to see privacy in terms of fairness. Brian Christian composed that specialists have actually pivoted "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code