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

AI-powered devices and services, such as virtual assistants and IoT products, continuously collect individual details, raising issues about intrusive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is additional exacerbated by AI's capability to procedure and combine huge amounts of information, possibly causing a surveillance society where individual activities are constantly monitored and evaluated without appropriate safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has taped countless personal conversations and permitted temporary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent security variety from those who see it as a necessary evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI designers argue that this is the only method to deliver valuable applications and have developed several strategies that attempt to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to see personal privacy in terms of fairness. Brian Christian composed that experts have actually rotated "from the concern 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