Artificial intelligence algorithms require large quantities of data. The techniques used to obtain this information have raised concerns about personal privacy, monitoring 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 third parties. The loss of personal privacy is additional exacerbated by AI's ability to process and integrate vast quantities of information, possibly resulting in a security society where specific activities are constantly monitored and examined without sufficient safeguards or transparency.

Sensitive user data collected might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has recorded countless personal discussions and allowed short-term workers to listen to and transcribe some of them. [205] Opinions about this widespread monitoring variety from those who see it as a required 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 valuable applications and have established a number of methods that attempt to maintain personal privacy while still obtaining the information, 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 professionals have pivoted "from the question of 'what they know' to the question 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 code