Artificial intelligence algorithms need large amounts of data. 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 items, continuously gather personal details, raising concerns about invasive information event and unauthorized gain access to by 3rd celebrations. The loss of personal privacy is additional intensified by AI's capability to process and integrate large quantities of data, possibly causing a monitoring society where specific activities are continuously kept an eye on and analyzed without sufficient safeguards or openness.

Sensitive user data collected might consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has actually tape-recorded countless personal conversations and allowed temporary workers to listen to and transcribe some of them. [205] Opinions about this extensive 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 developers argue that this is the only method to provide valuable applications and have established a number of methods that try to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have started to see personal privacy in terms of fairness. Brian Christian wrote that experts have pivoted "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, including in domains such as images or computer code