Artificial intelligence algorithms require large quantities of information. The strategies used to obtain this information have raised issues about personal privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly gather individual details, raising concerns about invasive data event and unauthorized gain access to by 3rd parties. The loss of privacy is additional exacerbated by AI's ability to procedure and combine huge amounts of information, potentially resulting in a surveillance society where private activities are continuously kept an eye on and examined without appropriate safeguards or openness.

Sensitive user information collected might include online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has tape-recorded millions of private conversations and enabled short-lived employees to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance range from those who see it as a needed 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 developed several strategies that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually started to see personal privacy in terms of fairness. Brian Christian wrote that professionals have actually pivoted "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code