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

AI-powered devices and services, such as virtual assistants and IoT products, continuously collect personal details, raising concerns about intrusive data event and unapproved gain access to by third parties. The loss of privacy is more worsened by AI's capability to procedure and integrate large amounts of data, possibly leading to a surveillance society where are constantly kept an eye on and examined without appropriate safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation information, video, or setiathome.berkeley.edu audio. [204] For example, in order to develop speech recognition algorithms, Amazon has actually recorded millions of personal discussions and enabled short-term employees to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring range from those who see it as a needed 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 method to deliver valuable applications and have actually developed several techniques that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually started to view personal privacy in regards to fairness. Brian Christian composed that experts have pivoted "from the question of 'what they know' to the question 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