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

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect personal details, raising issues about invasive information gathering and unauthorized gain access to by 3rd parties. The loss of privacy is further worsened by AI's capability to procedure and combine huge amounts of information, possibly resulting in a monitoring society where private activities are constantly kept track of and examined without appropriate safeguards or transparency.

Sensitive user data gathered may consist of online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has actually recorded millions of personal conversations and allowed short-term employees to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance 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 privacy. [206]
AI designers argue that this is the only way to provide important applications and have actually established numerous 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 privacy professionals, such as Cynthia Dwork, have begun to see privacy in terms of fairness. Brian Christian wrote that experts have rotated "from the question of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code