Artificial intelligence algorithms require large quantities of data. The strategies utilized to obtain this information have raised issues about privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, constantly gather personal details, raising issues about intrusive data gathering and unapproved gain access to by 3rd celebrations. The loss of personal privacy is additional intensified by AI's capability to procedure and integrate vast amounts of information, possibly leading to a surveillance society where individual activities are continuously kept an eye on and analyzed without sufficient safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has tape-recorded countless private conversations and permitted short-term employees to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance variety from those who see it as a needed evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI developers argue that this is the only method to provide important applications and have established several methods that attempt to maintain personal privacy while still the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian wrote that experts have actually pivoted "from the question of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code