Artificial intelligence algorithms need big quantities of data. The methods used to obtain this data have raised concerns about personal privacy, security and copyright.
AI-powered devices and services, such as virtual assistants and IoT items, continuously collect personal details, raising issues about invasive data event and unauthorized gain access to by third parties. The loss of privacy is further intensified by AI's ability to process and combine large amounts of information, potentially leading to a surveillance society where specific activities are constantly monitored and analyzed 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 build speech acknowledgment algorithms, Amazon has recorded countless personal discussions and allowed short-term workers to listen to and transcribe a few of them. [205] Opinions about this extensive monitoring range from those who see it as a needed 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 deliver important applications and have actually developed several methods that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually started to view privacy in regards to fairness. Brian Christian wrote that professionals have actually rotated "from the concern of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code
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AI Pioneers such as Yoshua Bengio
katekitterman edited this page 2025-02-17 08:35:02 +00:00