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

AI-powered devices and services, such as virtual assistants and IoT items, continually collect personal details, raising concerns about invasive information gathering and unauthorized gain access to by third parties. The loss of personal privacy is more intensified by AI's capability to procedure and combine large amounts of information, possibly causing a monitoring society where individual activities are continuously kept an eye on and analyzed without appropriate safeguards or openness.

Sensitive user information collected might 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 enabled temporary workers to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance variety from those who see it as a needed evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have developed several strategies that try to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to see personal privacy in terms of fairness. Brian Christian composed that specialists have actually rotated "from the concern of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code