Artificial intelligence algorithms require big amounts of data. 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, continually gather individual details, raising concerns about intrusive information gathering and unauthorized gain access to by 3rd parties. The loss of privacy is more exacerbated by AI's ability to procedure and integrate huge quantities of data, possibly causing a surveillance society where individual activities are continuously monitored and evaluated without appropriate safeguards or transparency.

Sensitive user data gathered may include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded countless private conversations and permitted short-lived employees to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance variety 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 developers argue that this is the only method to provide important applications and have established several strategies 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 experts, such as Cynthia Dwork, have started to see privacy in regards to fairness. Brian Christian wrote that experts have rotated "from the concern of 'what they know' to the question 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