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

AI-powered devices and services, such as virtual assistants and IoT items, continuously collect individual details, raising issues about invasive information event and unauthorized gain access to by 3rd celebrations. The loss of privacy is further intensified by AI's capability to process and integrate vast quantities of information, potentially causing a monitoring society where specific activities are constantly monitored and analyzed without appropriate safeguards or transparency.

Sensitive user information gathered may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has tape-recorded millions of personal conversations and enabled temporary employees to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance range from those who see it as a required 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 valuable applications and have actually established several methods that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have begun to see personal privacy in terms of fairness. Brian Christian wrote that specialists have actually pivoted "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code