Artificial intelligence algorithms need big quantities of data. The methods used to obtain this data have raised issues about privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continually collect personal details, raising issues about intrusive information gathering and unauthorized gain access to by 3rd celebrations. The loss of personal privacy is additional intensified by AI's capability to procedure and integrate huge amounts of information, potentially resulting in a security society where specific activities are constantly kept track of and analyzed without adequate safeguards or transparency.

Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has recorded millions of private discussions and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring 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 way to provide valuable applications and have actually developed several strategies that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian composed that professionals have rotated "from the concern of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code