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

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect personal details, raising issues about invasive information event and unauthorized gain access to by third celebrations. The loss of personal privacy is additional intensified by AI's capability to procedure and combine large amounts of data, possibly leading to a security society where specific activities are continuously kept an eye on and analyzed without adequate safeguards or openness.

Sensitive user information gathered may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has recorded millions of private discussions and allowed temporary employees to listen to and transcribe a few of them. [205] Opinions about this extensive monitoring range from those who see it as a necessary evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206]
AI developers argue that this is the only way to provide important applications and have established several strategies that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have started to see personal privacy in regards to fairness. Brian Christian wrote that experts have actually pivoted "from the question of 'what they understand' to the question 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 system code