Artificial intelligence algorithms need big amounts of data. The techniques utilized to obtain this data have raised concerns about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, constantly collect personal details, raising issues about invasive data event and unauthorized gain access to by 3rd parties. The loss of personal privacy is additional worsened by AI's ability to process and integrate large quantities of information, potentially resulting in a surveillance society where private activities are continuously monitored and analyzed without adequate safeguards or transparency.

Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has recorded millions of personal discussions and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this extensive surveillance range from those who see it as a needed evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI developers argue that this is the only method to provide important applications and have actually developed numerous strategies that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually started to view personal privacy in terms of fairness. Brian Christian wrote that specialists have rotated "from the question of 'what they understand' to the concern of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code