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

AI-powered devices and services, such as virtual assistants and IoT products, continuously collect personal details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is further exacerbated by AI's capability to procedure and combine large quantities of data, possibly leading to a security society where specific activities are continuously kept an eye on and analyzed without adequate safeguards or openness.

Sensitive user data gathered may include online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has actually tape-recorded countless personal discussions and allowed temporary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring variety from those who see it as a needed evil to those for whom it is plainly unethical 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 developed a number of techniques that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually started to view privacy in regards to fairness. Brian Christian composed that specialists have actually pivoted "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code