Artificial intelligence algorithms need big amounts of information. The strategies used to obtain this data have raised concerns about privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, constantly collect individual details, raising concerns about intrusive information event and unapproved gain access to by 3rd parties. The loss of personal privacy is further worsened by AI's capability to procedure and combine huge quantities of information, possibly causing a surveillance society where private activities are constantly monitored and analyzed without appropriate safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has actually recorded countless personal discussions and allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this widespread surveillance range from those who see it as a required evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to provide valuable applications and have actually established numerous techniques that attempt to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually begun to see personal 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 making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code