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

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather personal details, raising issues about invasive information event and unauthorized gain access to by 3rd parties. The loss of personal privacy is more exacerbated by AI's capability to process and integrate vast quantities of data, possibly resulting in a surveillance society where individual activities are continuously monitored and examined without adequate safeguards or openness.

Sensitive user data gathered might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded millions of personal discussions and enabled short-lived workers to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring range from those who see it as a needed 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 provide important applications and have established a number of techniques that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have started to see personal privacy in terms of fairness. Brian Christian composed that professionals have rotated "from the question of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code