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

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously collect individual details, raising concerns about intrusive data gathering and unapproved gain access to by 3rd celebrations. The loss of privacy is further intensified by AI's ability to procedure and combine large quantities of information, possibly resulting in a monitoring society where private activities are constantly monitored and examined without adequate safeguards or openness.

Sensitive user data collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has actually tape-recorded countless personal discussions and permitted short-lived employees to listen to and transcribe some of them. [205] Opinions about this extensive 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 deliver valuable applications and have established a number of methods that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually begun to see personal privacy in regards to fairness. Brian Christian composed that specialists have pivoted "from the concern of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code