Artificial intelligence algorithms need big quantities of information. The strategies utilized 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 intrusive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is more worsened by AI's ability to process and combine vast quantities of data, potentially causing a monitoring society where specific activities are continuously monitored and examined without appropriate safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has taped millions of private conversations and allowed short-term workers to listen to and transcribe a few 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 privacy. [206]
AI designers argue that this is the only method to deliver valuable applications and have established a number of 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 experts, such as Cynthia Dwork, have begun to see personal privacy in regards to fairness. Brian Christian composed that experts have rotated "from the concern of 'what they understand' to the concern 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