Artificial intelligence algorithms need large quantities of information. The methods used to obtain this information have raised concerns about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather personal details, raising issues about intrusive data gathering and unapproved gain access to by third parties. The loss of personal privacy is more worsened by AI's capability to process and integrate vast amounts of information, possibly resulting in a surveillance society where specific activities are continuously kept an eye on and evaluated without adequate safeguards or transparency.

Sensitive user information collected may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has actually taped millions of private discussions and allowed temporary employees to listen to and transcribe a few of them. [205] Opinions about this widespread security range from those who see it as a needed evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI developers argue that this is the only method to provide important applications and have actually developed numerous techniques that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually started to view personal privacy in regards to fairness. Brian Christian composed that experts have actually rotated "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code