Artificial intelligence algorithms require big quantities of data. The strategies used to obtain this data have actually raised concerns about privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continually gather individual details, raising issues about invasive information gathering and unauthorized gain access to by 3rd celebrations. The loss of personal privacy is additional worsened by AI's capability to process and integrate vast amounts of information, possibly leading to a surveillance society where individual activities are constantly monitored and evaluated without adequate safeguards or transparency.

Sensitive user information gathered may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has taped millions of private conversations and enabled short-term workers 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 designers argue that this is the only method to provide valuable applications and have developed several strategies that try 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 actually started to view personal privacy in terms of fairness. Brian Christian composed that experts have pivoted "from the concern of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code