Artificial intelligence algorithms require large amounts of information. The methods utilized to obtain this data have raised concerns about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously collect personal details, raising concerns about intrusive information gathering and unauthorized gain access to by 3rd parties. The loss of privacy is additional worsened by AI's capability to process and integrate vast amounts of information, possibly resulting in a monitoring society where individual activities are continuously kept track of and evaluated without adequate safeguards or transparency.

Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually taped countless personal discussions and allowed momentary employees to listen to and transcribe a few of them. [205] Opinions about this prevalent security variety from those who see it as a required evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have established several techniques that try to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian wrote that specialists have rotated "from the question of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code