Artificial intelligence algorithms require large quantities of information. The strategies utilized to obtain this data have raised issues about privacy, monitoring and copyright.

AI-powered devices and services, yewiki.org such as virtual assistants and IoT items, constantly gather personal details, raising issues about intrusive data gathering and unapproved gain access to by third parties. The loss of privacy is further exacerbated by AI's capability to process and combine large quantities of information, potentially resulting in a security society where specific activities are constantly monitored and examined without sufficient safeguards or transparency.

Sensitive user data collected might include online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has recorded countless personal discussions and permitted short-lived workers to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance range from those who see it as a needed evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI designers argue that this is the only method to deliver valuable applications and have developed several methods that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually begun to see privacy in regards to fairness. Brian Christian wrote that experts have pivoted "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code