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

AI-powered devices and services, such as virtual assistants and IoT items, constantly gather individual details, raising issues about intrusive information event and unauthorized gain access to by 3rd parties. The loss of privacy is more intensified by AI's ability to process and integrate vast quantities of information, potentially resulting in a surveillance society where specific activities are constantly monitored and examined without sufficient safeguards or openness.

Sensitive user data collected might include online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded millions of private discussions and permitted short-term employees to listen to and transcribe some of them. [205] Opinions about this extensive monitoring range from those who see it as a required evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only method to provide valuable applications and have actually developed numerous techniques that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to see privacy in regards to fairness. Brian Christian wrote that professionals have actually pivoted "from the question of 'what they understand' to the question 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 system code