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

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather personal details, raising concerns about invasive data event and unapproved gain access to by 3rd celebrations. The loss of personal privacy is additional intensified by AI's capability to procedure and combine vast quantities of data, potentially causing a surveillance society where private activities are constantly monitored and examined without appropriate safeguards or openness.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded millions of private discussions and permitted short-lived employees to listen to and transcribe some of them. [205] Opinions about this prevalent security range from those who see it as an essential evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI designers argue that this is the only method to deliver 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 personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to see privacy in terms of fairness. Brian Christian composed that professionals have rotated "from the concern of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code