Artificial intelligence algorithms require big amounts of information. The methods utilized to obtain this information have raised issues about privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather individual details, raising issues about invasive information gathering and unauthorized gain access to by third celebrations. The loss of personal privacy is more exacerbated by AI's ability to process and integrate large amounts of data, possibly leading to a security society where private activities are continuously monitored and analyzed without sufficient safeguards or openness.

Sensitive user data gathered may include online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has actually tape-recorded millions of private 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 unethical and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have established numerous methods that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to view privacy in terms of fairness. Brian Christian wrote that specialists have pivoted "from the concern of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code