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

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly collect personal details, raising concerns about invasive information event and unapproved gain access to by 3rd parties. The loss of personal privacy is additional intensified by AI's capability to procedure and combine vast amounts of information, possibly resulting in a security society where individual activities are constantly kept track of and analyzed without appropriate 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 recognition algorithms, Amazon has actually taped countless personal conversations and enabled temporary workers to listen to and transcribe some of them. [205] Opinions about this widespread surveillance variety from those who see it as a needed 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 numerous techniques that attempt to maintain privacy while still obtaining the data, such as information 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 experts have pivoted "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code