Artificial intelligence algorithms require big quantities of data. The techniques used to obtain this information have actually raised issues about privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather personal details, raising issues about intrusive information event and unauthorized gain access to by 3rd parties. The loss of personal privacy is additional intensified by AI's capability to process and combine huge amounts of data, possibly resulting in a surveillance society where specific activities are continuously monitored and analyzed without sufficient safeguards or openness.

Sensitive user data collected may include online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually recorded countless private conversations and enabled short-lived employees to listen to and transcribe some of them. [205] Opinions about this extensive 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 method to provide valuable applications and have actually established a number of techniques that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually begun to view privacy in regards to fairness. Brian Christian wrote that experts have rotated "from the question of 'what they understand' to the question of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code