Artificial intelligence algorithms require large of data. The techniques used to obtain this data have raised issues about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect personal details, raising concerns about intrusive information event and unauthorized gain access to by third parties. The loss of personal privacy is more worsened by AI's ability to process and integrate huge quantities of data, possibly causing a monitoring society where specific activities are continuously kept track of and examined without adequate safeguards or transparency.

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 conversations and enabled short-lived workers to listen to and transcribe some of them. [205] Opinions about this prevalent surveillance range from those who see it as a necessary 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 actually established a number of strategies that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually started to view personal privacy in terms of fairness. Brian Christian composed that experts have rotated "from the concern of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code