Artificial intelligence algorithms require big quantities of data. The strategies utilized to obtain this information have actually raised issues about privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather individual details, raising issues about invasive information event and unauthorized gain access to by 3rd parties. The loss of privacy is further exacerbated by AI's capability to process and combine vast quantities of data, potentially resulting in a surveillance society where private activities are constantly kept an eye on and examined without appropriate safeguards or openness.

Sensitive user data collected might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded countless personal discussions and allowed short-lived employees to listen to and transcribe a few 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 dishonest and a violation of the right to privacy. [206]
AI developers argue that this is the only way to deliver important applications and have developed a number of methods that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have begun to see privacy in regards to fairness. Brian Christian wrote that professionals have actually rotated "from the concern of 'what they understand' to the concern 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 code