Artificial intelligence algorithms require big amounts of information. The methods utilized to obtain this data have raised issues about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually gather individual details, raising issues about intrusive information event and unauthorized gain access to by 3rd parties. The loss of personal privacy is more worsened by AI's ability to process and integrate vast amounts of information, potentially leading to a surveillance society where individual activities are continuously kept track of and evaluated without appropriate safeguards or openness.

Sensitive user information collected might include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has actually taped countless personal discussions and allowed temporary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance variety from those who see it as an essential evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver important applications and have established numerous methods that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually started to view privacy in terms of fairness. Brian Christian wrote that specialists have pivoted "from the question of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code