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

AI-powered gadgets and services, such as virtual assistants and IoT items, continually collect personal details, raising concerns about invasive information event and unauthorized gain access to by 3rd parties. The loss of personal privacy is further intensified by AI's capability to process and combine vast amounts of information, potentially leading to a surveillance society where individual activities are constantly kept an eye on and analyzed without appropriate safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has actually recorded millions of personal discussions and allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this widespread surveillance range from those who see it as an essential evil to those for whom it is plainly unethical and an offense of the right to privacy. [206]
AI developers argue that this is the only way to deliver valuable applications and have actually developed a number of strategies that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually begun to view personal privacy in terms of fairness. Brian Christian composed that experts have pivoted "from the concern of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code