Artificial intelligence algorithms need large quantities of information. The methods utilized to obtain this data have actually raised issues about personal privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather individual details, raising concerns about intrusive information event and unapproved gain access to by third parties. The loss of personal privacy is further intensified by AI's ability to procedure and combine vast amounts of information, possibly causing a security society where individual activities are constantly monitored and analyzed without sufficient safeguards or transparency.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has actually tape-recorded millions of private discussions and enabled temporary workers to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance range from those who see it as a required evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI developers argue that this is the only method to provide important applications and have developed numerous strategies that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have begun to see personal privacy in regards to fairness. Brian Christian wrote that experts have actually pivoted "from the concern of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code