Artificial intelligence algorithms require large amounts of information. The techniques used to obtain this information have raised issues about privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously gather individual details, raising issues about invasive data gathering and unapproved gain access to by 3rd parties. The loss of privacy is additional exacerbated by AI's capability to process and integrate large quantities of data, potentially leading to a surveillance society where individual activities are continuously monitored and analyzed without sufficient safeguards or transparency.

Sensitive user data collected might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has actually tape-recorded countless personal discussions and permitted temporary workers to listen to and transcribe a few of them. [205] Opinions about this widespread security 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 provide important applications and have actually established a number of strategies that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have begun to see privacy in terms of fairness. Brian Christian wrote that experts have pivoted "from the concern of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code