Artificial intelligence algorithms need big amounts of information. The methods 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 collect personal details, raising concerns about invasive data event and unauthorized gain access to by third celebrations. The loss of personal privacy is more intensified by AI's capability to process and integrate huge quantities of data, possibly resulting in a surveillance society where private activities are continuously monitored and evaluated without appropriate safeguards or transparency.

Sensitive user information collected might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded countless private discussions and permitted short-term workers to listen to and transcribe some of them. [205] Opinions about this widespread security range from those who see it as a needed 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 method to provide important applications and have actually developed numerous techniques that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian wrote that professionals have rotated "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code