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

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect personal details, raising concerns about intrusive information gathering and unauthorized gain access to by 3rd parties. The loss of privacy is more exacerbated by AI's capability to procedure and combine huge amounts of data, possibly leading to a monitoring society where private activities are continuously monitored and examined without appropriate safeguards or transparency.

Sensitive user data gathered might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has recorded millions of private conversations and enabled short-lived workers to listen to and transcribe some of them. [205] Opinions about this widespread monitoring 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 developers argue that this is the only way to provide important applications and have actually established several techniques that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have begun to view privacy in terms of fairness. Brian Christian composed that specialists have actually rotated "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code