Artificial intelligence algorithms need large amounts of information. The techniques used to obtain this information have raised concerns about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather personal details, raising issues about invasive data gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is further intensified by AI‘s capability to process and integrate huge quantities of information, potentially causing a security society where specific activities are continuously monitored and examined without sufficient safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has recorded millions of personal conversations and allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this extensive monitoring range from those who see it as a necessary evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have actually established several strategies that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian composed that professionals have rotated “from the concern of ‘what they know’ to the question of ‘what they’re doing with it’.” [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code