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

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect individual details, raising issues about intrusive data event and unapproved gain access to by 3rd parties. The loss of privacy is additional exacerbated by AI's capability to procedure and combine huge amounts of data, potentially resulting in a surveillance society where individual activities are continuously monitored and evaluated without sufficient safeguards or transparency.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has recorded millions of personal discussions and permitted momentary workers to listen to and transcribe some of them. [205] Opinions about this widespread surveillance range from those who see it as a necessary evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver important applications and have actually developed a number of techniques that try to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to see privacy in terms of fairness. Brian Christian composed that experts have rotated "from the concern of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code