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

AI-powered devices and services, such as virtual assistants and IoT items, continuously collect individual details, raising concerns about invasive data gathering and unapproved gain access to by third celebrations. The loss of privacy is additional worsened by AI's ability to process and integrate vast quantities of data, potentially resulting in a surveillance society where specific activities are continuously kept track of and examined without adequate safeguards or openness.

Sensitive user data gathered may consist of online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has actually tape-recorded countless personal conversations and allowed short-term workers to listen to and transcribe some of them. [205] Opinions about this widespread security range from those who see it as an essential evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI designers argue that this is the only way to provide important applications and have actually established numerous methods that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to see privacy in regards to fairness. Brian Christian wrote that professionals have pivoted "from the concern of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code