Artificial intelligence algorithms require large quantities of data. The methods used to obtain this information have raised issues about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously gather personal details, raising concerns about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is additional intensified by AI's ability to process and integrate vast quantities of information, potentially leading to a security society where individual activities are constantly kept an eye on and examined without sufficient safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has recorded countless private conversations and allowed short-term employees to listen to and transcribe a few of them. [205] Opinions about this extensive security variety from those who see it as a required evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
AI designers argue that this is the only method to provide valuable applications and have actually established a number of techniques that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually started to view privacy in regards to fairness. Brian Christian wrote that professionals have actually rotated "from the question of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code