Artificial intelligence algorithms need big quantities of information. The strategies used to obtain this data have raised concerns about privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continually gather personal details, raising concerns about invasive information event and unauthorized gain access to by third celebrations. The loss of privacy is further exacerbated by AI's capability to process and combine vast amounts of data, possibly resulting in a monitoring society where private activities are continuously kept an eye on and analyzed without appropriate safeguards or openness.

Sensitive user data collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has recorded countless private conversations and permitted temporary employees to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance range from those who see it as a required evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only way to provide important applications and have established several methods 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 actually begun to view personal privacy in regards to fairness. Brian Christian composed that professionals have actually pivoted "from the concern of 'what they understand' to the question of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code