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 used to obtain this data have raised issues about privacy, monitoring and copyright.<br>
+<br>[AI](https://wiki.contextgarden.net)-powered devices and services, such as virtual assistants and IoT items, continually collect individual details, raising issues about invasive data event and unapproved gain access to by 3rd parties. The loss of personal privacy is additional exacerbated by AI's capability to procedure and integrate huge quantities of information, potentially causing a security society where individual activities are constantly kept an eye on and analyzed without adequate safeguards or openness.<br>
+<br>Sensitive user data collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has tape-recorded millions of private conversations and enabled short-lived employees to listen to and transcribe some of them. [205] Opinions about this prevalent security variety from those who see it as a necessary evil to those for whom it is plainly unethical and an offense of the right to privacy. [206]
+<br>[AI](https://akinsemployment.ca) developers argue that this is the only way to deliver valuable applications and have established a number of strategies that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually begun to view personal privacy in regards to fairness. Brian Christian wrote that experts have rotated "from the question of 'what they understand' to the question of 'what they're doing with it'." [208]
+<br>Generative [AI](http://78.108.145.23:3000) is often trained on unlicensed copyrighted works, including in domains such as images or computer system code