Add 'AI Pioneers such as Yoshua Bengio'

AI-Pioneers-such-as-Yoshua-Bengio.md

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+<br>Artificial intelligence algorithms need big quantities of data. The methods utilized to obtain this data have actually raised concerns about privacy, monitoring and copyright.<br>
+<br>AI-powered devices and services, such as virtual assistants and IoT items, continuously collect personal details, raising issues about invasive information gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is additional intensified by [AI](http://112.74.102.69:6688)'s ability to process and combine vast quantities of data, potentially leading to a security society where specific activities are constantly monitored and examined without appropriate safeguards or openness.<br>
+<br>Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has actually tape-recorded millions of private conversations and enabled temporary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring range from those who see it as a required evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
+<br>AI designers argue that this is the only method to provide valuable applications and have actually developed several methods that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have begun to see personal privacy in terms of fairness. Brian Christian wrote that specialists have rotated "from the concern of 'what they understand' to the concern of 'what they're finishing with it'." [208]
+<br>Generative [AI](https://gitlab.chabokan.net) is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code