Artificial intelligence algorithms require big amounts of information. The strategies utilized to obtain this information have actually raised concerns about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly gather individual details, raising issues about intrusive data gathering and unauthorized gain access to by 3rd parties. The loss of privacy is additional exacerbated by AI's ability to process and combine vast quantities of data, possibly leading to a security society where private activities are continuously monitored and evaluated without sufficient safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded countless personal conversations and allowed temporary workers to listen to and transcribe some of them. [205] Opinions about this widespread security range from those who see it as a needed evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI developers argue that this is the only way to deliver important applications and have actually established a number of methods that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually begun to see personal privacy in terms of fairness. Brian Christian composed that professionals have pivoted "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code