Artificial intelligence algorithms need big amounts of information. The strategies used to obtain this data have raised concerns about 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 third parties. The loss of privacy is additional worsened by AI's ability to process and combine large amounts of data, possibly causing a monitoring society where private activities are constantly monitored and examined without adequate safeguards or openness.

Sensitive user information gathered may include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has actually tape-recorded countless private discussions and allowed short-lived workers to listen to and transcribe some of them. [205] Opinions about this prevalent surveillance variety from those who see it as a necessary evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
AI developers argue that this is the only way to deliver important applications and have developed a number of methods that attempt to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually started to view privacy in terms of fairness. Brian Christian composed that experts have pivoted "from the question of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code