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

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously collect individual details, raising issues about intrusive data gathering and unauthorized gain access to by third celebrations. The loss of personal privacy is further exacerbated by AI's ability to procedure and integrate vast quantities of data, potentially resulting in a surveillance society where specific activities are continuously kept an eye on and evaluated without appropriate safeguards or transparency.

Sensitive user data collected may include online activity records, geolocation information, video, systemcheck-wiki.de or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has taped countless private discussions and permitted momentary employees to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance variety from those who see it as a needed 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 method to provide valuable applications and have developed several strategies that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have begun to see personal privacy in terms of fairness. Brian Christian composed that experts have rotated "from the question of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code