Artificial intelligence algorithms need big amounts of information. The techniques used to obtain this data have raised concerns about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously gather individual details, raising issues about invasive information event and unapproved gain access to by 3rd parties. The loss of personal privacy is more worsened by AI's capability to procedure and combine huge amounts of data, possibly resulting in a monitoring society where specific activities are continuously kept track of and analyzed without appropriate safeguards or openness.

Sensitive user data collected might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has recorded countless private conversations and enabled temporary employees to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring range from those who see it as a required evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have actually developed a number of techniques that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to see privacy in terms of fairness. Brian Christian composed that experts have pivoted "from the concern of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code