Artificial intelligence algorithms need large quantities of data. The methods used to obtain this information have actually raised concerns about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously collect individual details, raising concerns about intrusive information gathering and unauthorized gain access to by 3rd parties. The loss of privacy is more exacerbated by AI's ability to process and combine large amounts of data, potentially causing a monitoring society where private activities are continuously kept track of and analyzed without appropriate safeguards or transparency.

Sensitive user information collected might include online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has actually recorded countless private discussions and permitted momentary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance variety from those who see it as an essential evil to those for whom it is plainly unethical and an offense of the right to privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have actually developed several strategies that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have started to see privacy in regards to fairness. Brian Christian composed that specialists have pivoted "from the question of 'what they understand' to the concern 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