Artificial intelligence algorithms require big amounts of information. The techniques utilized to obtain this information have raised issues about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously gather personal details, raising concerns about intrusive information event and unapproved gain access to by 3rd celebrations. The loss of privacy is additional exacerbated by AI's capability to process and integrate large amounts of information, potentially resulting in a monitoring society where private activities are constantly kept track of and evaluated without sufficient safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has recorded countless private conversations and enabled momentary employees to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance range from those who see it as a required evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver important applications and have developed numerous techniques 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 started to see privacy in terms of fairness. Brian Christian composed that experts have actually rotated "from the concern of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code