Artificial intelligence algorithms need big amounts of data. The methods used to obtain this data have actually raised concerns about privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously gather individual details, raising issues about invasive information gathering and unauthorized gain access to by third parties. The loss of personal privacy is additional intensified by AI's ability to process and integrate vast amounts of information, potentially resulting in a monitoring society where individual activities are constantly monitored and examined without sufficient safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has taped countless personal discussions and permitted temporary workers to listen to and transcribe some of them. [205] Opinions about this prevalent security variety from those who see it as a needed evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI designers argue that this is the only method to deliver important applications and have established a number of methods that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to see privacy in regards to fairness. Brian Christian composed that specialists have rotated "from the question of 'what they understand' 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