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

AI-powered gadgets and services, such as virtual assistants and IoT items, 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 ability to process and integrate huge amounts of information, potentially causing a monitoring society where private activities are constantly kept an eye on and examined without sufficient safeguards or openness.

Sensitive user data collected might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has tape-recorded countless personal conversations and permitted momentary workers to listen to and transcribe a few of them. [205] Opinions about this widespread security 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 privacy. [206]
AI designers argue that this is the only method to deliver valuable applications and have actually established numerous strategies 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 personal privacy professionals, such as Cynthia Dwork, have actually started to view privacy in terms of fairness. Brian Christian wrote that specialists have rotated "from the concern of 'what they understand' 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 system code