Artificial intelligence algorithms require big amounts of information. The methods used to obtain this data have raised issues about personal privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly collect individual details, raising issues about invasive data gathering and unauthorized gain access to by third celebrations. The loss of privacy is further worsened by AI's ability to process and combine vast quantities of data, possibly leading to a monitoring society where individual activities are continuously kept an eye on and analyzed without appropriate safeguards or openness.

Sensitive user data collected may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has actually taped countless personal discussions and enabled short-lived workers to listen to and transcribe some of them. [205] Opinions about this extensive monitoring 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 developers argue that this is the only method to deliver important applications and have actually established a number of methods that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have begun to see privacy in regards to fairness. Brian Christian wrote that experts have rotated "from the concern of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code