Artificial intelligence algorithms require big quantities of information. The strategies 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 products, continuously collect individual details, raising issues about intrusive data gathering and unauthorized gain access to by 3rd parties. The loss of privacy is more worsened by AI's ability to process and integrate vast quantities of information, possibly causing a monitoring society where specific activities are continuously monitored and examined without sufficient safeguards or openness.

Sensitive user data collected might consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has recorded countless personal discussions and allowed momentary workers to listen to and transcribe some of them. [205] Opinions about this widespread surveillance variety from those who see it as a necessary evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
AI developers argue that this is the only way to provide important applications and have actually established a number of strategies that try to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually started to view personal privacy in terms of fairness. Brian Christian wrote that specialists have actually rotated "from the concern of 'what they know' to the question 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