Artificial intelligence algorithms require big quantities of data. The strategies used to obtain this data have raised issues about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continually collect personal details, raising issues about intrusive data event and unauthorized gain access to by third parties. The loss of personal privacy is additional worsened by AI's ability to procedure and integrate vast amounts of information, possibly resulting in a surveillance society where individual activities are continuously kept track of and examined without appropriate safeguards or transparency.

Sensitive user data collected may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has actually recorded countless private conversations and allowed short-lived workers to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance range from those who see it as a required evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
AI designers argue that this is the only method to provide valuable applications and have actually established a number of methods that attempt to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to see personal privacy in regards to fairness. Brian Christian composed that experts have actually rotated "from the concern of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code