Artificial intelligence algorithms need large quantities of information. The methods used to obtain this data have raised concerns about privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously gather individual details, raising concerns about invasive information event 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 quantities of data, potentially leading to a security society where individual activities are continuously monitored and evaluated without appropriate safeguards or transparency.

Sensitive user data collected might include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has recorded countless personal conversations and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this extensive surveillance variety from those who see it as a required evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have actually developed numerous methods 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 specialists, such as Cynthia Dwork, have started to see personal privacy in regards to fairness. Brian Christian wrote that professionals have actually pivoted "from the concern of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code