Artificial intelligence algorithms require large quantities of information. The techniques used to obtain this information have raised concerns about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect individual details, raising issues about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is further exacerbated by AI's ability to procedure and combine huge quantities of data, potentially causing a security society where individual activities are constantly kept track of and evaluated without sufficient safeguards or openness.

Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has actually tape-recorded millions of personal discussions and allowed short-lived workers to listen to and transcribe some of them. [205] Opinions about this widespread 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 personal privacy. [206]
AI developers argue that this is the only way to deliver valuable applications and have actually developed numerous strategies that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have begun to view privacy in terms of fairness. Brian Christian wrote that professionals have actually rotated "from the concern of 'what they understand' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code