Artificial intelligence algorithms require large amounts of information. The methods utilized to obtain this information have raised concerns about privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously gather individual details, raising issues about intrusive data gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is more intensified by AI's ability to process and combine large amounts of data, potentially leading to a security society where individual activities are continuously monitored and examined without appropriate safeguards or transparency.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has actually taped countless private discussions and permitted temporary 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 an offense of the right to privacy. [206]
AI developers argue that this is the only method to provide important applications and have developed several methods that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually begun to view personal privacy in regards to fairness. Brian Christian wrote that professionals have actually rotated "from the question of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code