Artificial intelligence algorithms need large quantities of data. The strategies used to obtain this information have actually raised issues about privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and higgledy-piggledy.xyz IoT products, constantly collect personal details, raising issues about invasive information gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is additional exacerbated by AI's capability to procedure and combine vast quantities of information, possibly causing a surveillance society where private activities are constantly kept track of and examined without appropriate safeguards or openness.

Sensitive user data 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 millions of personal discussions and allowed short-lived workers to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance range 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 way to deliver valuable applications and have developed numerous strategies that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have begun to see personal privacy in terms of fairness. Brian Christian wrote that specialists have rotated "from the question of 'what they understand' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code