Artificial intelligence algorithms require big amounts of data. The techniques used to obtain this data have actually raised issues about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continually gather individual details, raising concerns about invasive information event and unauthorized gain access to by 3rd parties. The loss of privacy is additional intensified by AI's ability to process and integrate huge amounts of data, potentially resulting in a monitoring society where individual activities are constantly monitored and analyzed without sufficient safeguards or openness.

Sensitive user information gathered may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has tape-recorded countless private discussions and permitted momentary workers to listen to and transcribe a few 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 dishonest and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only method to provide valuable applications and have actually developed a number of strategies that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually started to see privacy in terms of fairness. Brian Christian wrote that experts have actually pivoted "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, including in domains such as images or computer system code