Artificial intelligence algorithms need large amounts of information. The strategies utilized to obtain this data have actually raised issues about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect individual details, raising concerns about intrusive information event and unauthorized gain access to by 3rd parties. The loss of personal privacy is additional worsened by AI's ability to procedure and integrate large quantities of data, potentially leading to a surveillance society where individual activities are constantly kept an eye on and evaluated without sufficient safeguards or transparency.

Sensitive user data gathered might consist of online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has tape-recorded millions of personal conversations and enabled temporary workers to listen to and transcribe a few of them. [205] Opinions about this extensive security 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 personal privacy. [206]
AI developers argue that this is the only way to deliver important applications and have developed a number of techniques that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have started to view in terms of fairness. Brian Christian wrote that professionals have rotated "from the concern of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code