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

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously gather personal details, raising issues about invasive data gathering and unauthorized gain access to by third celebrations. The loss of privacy is more exacerbated by AI's capability to process and combine huge quantities of information, potentially resulting in a security society where individual activities are constantly monitored and analyzed without sufficient safeguards or transparency.

Sensitive user information collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has actually tape-recorded millions of private discussions and allowed short-term employees to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring range from those who see it as an essential evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to deliver valuable applications and have actually established numerous strategies that attempt to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually started to view personal privacy in regards to fairness. Brian Christian composed that experts have rotated "from the question of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code