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

AI-powered gadgets and forum.pinoo.com.tr services, such as virtual assistants and IoT products, continuously collect individual details, raising issues about intrusive information event and unapproved gain access to by third parties. The loss of personal privacy is further intensified by AI's capability to process and integrate vast amounts of data, possibly leading to a security society where individual activities are continuously kept track of and analyzed without sufficient safeguards or transparency.

Sensitive user information collected may consist of online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually tape-recorded millions of private conversations and enabled temporary 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 an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have established several methods 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 professionals, such as Cynthia Dwork, have started to view personal privacy in regards to fairness. Brian Christian wrote that experts have rotated "from the question of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code