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

AI-powered devices and services, such as virtual assistants and IoT products, constantly gather personal details, raising concerns about intrusive data gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is additional worsened by AI's capability to process and combine vast amounts of information, potentially leading to a monitoring society where specific activities are constantly kept an eye on and evaluated without adequate 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 recognition algorithms, Amazon has recorded countless personal discussions and allowed temporary workers to listen to and transcribe some of them. [205] Opinions about this widespread security 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 personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have established several strategies that attempt to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to see privacy in terms of fairness. Brian Christian wrote that professionals have actually pivoted "from the concern of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code