Artificial intelligence algorithms need large quantities of information. The methods utilized 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 invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is more worsened by AI's capability to process and integrate large amounts of data, possibly resulting in a surveillance society where private activities are constantly monitored and analyzed without sufficient safeguards or openness.

Sensitive user data gathered may include online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually recorded countless personal conversations and enabled temporary workers to listen to and transcribe a few of them. [205] Opinions about this extensive security variety from those who see it as a required evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI developers argue that this is the only method to deliver important applications and have developed a number of methods that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually started to see personal privacy in regards to fairness. Brian Christian wrote that specialists have actually rotated "from the concern of 'what they understand' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code