Artificial intelligence algorithms need large quantities of data. The techniques used to obtain this data have raised concerns about personal privacy, monitoring and copyright.
AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather personal details, raising issues about intrusive data gathering and unauthorized gain access to by third parties. The loss of personal privacy is more worsened by AI's ability to process and integrate vast amounts of data, possibly resulting in a monitoring society where private activities are continuously kept track of and analyzed without appropriate safeguards or transparency.
Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has recorded millions of private conversations and enabled short-term workers to listen to and transcribe a few of them. [205] Opinions about this extensive security variety from those who see it as a required 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 way to deliver important applications and have actually developed numerous strategies that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to see privacy in regards to fairness. Brian Christian wrote that experts have rotated "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code
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AI Pioneers such as Yoshua Bengio
Andrew Blakely edited this page 2 months ago