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

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously collect personal details, raising concerns about intrusive information gathering and unauthorized gain access to by third parties. The loss of personal privacy is more worsened by AI's capability to process and integrate large quantities of data, potentially leading to a monitoring society where individual activities are continuously monitored and evaluated without appropriate safeguards or openness.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has tape-recorded countless personal conversations and allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this widespread monitoring range from those who see it as an essential evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have actually developed numerous techniques that attempt 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 view personal privacy in terms of fairness. Brian Christian wrote that experts have pivoted "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code