Artificial intelligence algorithms require large amounts of information. The methods used to obtain this information have raised concerns about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually gather personal details, raising issues about intrusive information gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is more worsened by AI's ability to process and combine vast quantities of information, potentially leading to a monitoring society where private activities are continuously monitored and examined without appropriate safeguards or transparency.

Sensitive user information collected may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has actually recorded millions of personal conversations and allowed momentary workers to listen to and transcribe a few of them. [205] Opinions about this extensive monitoring variety from those who see it as an essential evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only way to deliver valuable applications and have actually developed several methods that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to see privacy in terms of fairness. Brian Christian wrote that specialists have actually rotated "from the concern of 'what they understand' to the question 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