Artificial intelligence algorithms need large amounts of data. The techniques used to obtain this information have actually raised concerns about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather personal details, raising issues about intrusive information event and unapproved gain access to by third parties. The loss of privacy is additional intensified by AI's ability to procedure and integrate large quantities of information, possibly leading to a surveillance society where individual activities are continuously monitored and analyzed without appropriate safeguards or openness.

Sensitive user information gathered may include online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has taped countless private conversations and allowed momentary employees to listen to and transcribe some of them. [205] Opinions about this widespread surveillance variety from those who see it as an essential evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI designers argue that this is the only way to provide important applications and have established 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 personal privacy experts, such as Cynthia Dwork, have actually started to see privacy in terms of fairness. Brian Christian composed that professionals have rotated "from the question of 'what they know' to the concern 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