Artificial intelligence algorithms need large amounts of data. The techniques used to obtain this information have raised issues about privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continually collect individual details, raising issues about intrusive information event and unapproved gain access to by 3rd parties. The loss of privacy is more exacerbated by AI's ability to procedure and integrate large amounts of data, possibly causing a monitoring society where specific activities are constantly kept an eye on and analyzed without sufficient safeguards or transparency.

Sensitive user information collected may include online activity records, wiki.myamens.com geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, it-viking.ch Amazon has taped millions of personal conversations and allowed short-term workers to listen to and transcribe some of them. [205] Opinions about this extensive monitoring range from those who see it as an essential 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 way to provide important applications and have established a number of strategies that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have begun to see privacy in regards to fairness. Brian Christian wrote that experts have actually rotated "from the question of 'what they know' 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