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

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously collect individual details, raising concerns about intrusive information event and unapproved gain access to by 3rd parties. The loss of privacy is more worsened by AI's ability to procedure and combine vast quantities of data, potentially resulting in a surveillance society where specific activities are constantly monitored and evaluated without adequate safeguards or openness.

Sensitive user information collected might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has taped countless private conversations and allowed short-term employees to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring variety 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 several strategies that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian composed that experts have actually rotated "from the question of 'what they know' 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 system code