Artificial intelligence algorithms need large quantities of data. The strategies used to obtain this information have actually raised issues about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continually gather individual details, raising issues about intrusive information event and unauthorized gain access to by 3rd parties. The loss of privacy is more exacerbated by AI's ability to process and integrate large quantities of data, potentially leading to a security society where individual activities are constantly monitored and analyzed without appropriate safeguards or transparency.

Sensitive user information gathered may include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has recorded millions of private conversations and enabled short-term workers to listen to and transcribe a few of them. [205] Opinions about this extensive security variety from those who see it as an essential evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI designers argue that this is the only way to deliver valuable applications and have actually developed 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 personal privacy experts, such as Cynthia Dwork, have actually started to view privacy in terms of fairness. Brian Christian wrote that specialists have rotated "from the question of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code