From 767e39a9c9303c542f0d72ff9e1dbf7a94cf7b65 Mon Sep 17 00:00:00 2001 From: ndmbillie39535 Date: Wed, 12 Mar 2025 12:09:46 +0100 Subject: [PATCH] Add 'AI Pioneers such as Yoshua Bengio' --- AI-Pioneers-such-as-Yoshua-Bengio.md | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 AI-Pioneers-such-as-Yoshua-Bengio.md diff --git a/AI-Pioneers-such-as-Yoshua-Bengio.md b/AI-Pioneers-such-as-Yoshua-Bengio.md new file mode 100644 index 0000000..5f50f38 --- /dev/null +++ b/AI-Pioneers-such-as-Yoshua-Bengio.md @@ -0,0 +1,5 @@ +
Artificial intelligence algorithms need large amounts of data. The methods used to obtain this data have raised concerns about personal privacy, security and copyright.
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AI-powered devices and services, such as virtual assistants and IoT products, continually gather personal details, raising issues about intrusive information gathering and unapproved gain access to by third celebrations. The loss of privacy is additional exacerbated by [AI](http://sp001g.dfix.co.kr)'s ability to procedure and integrate huge quantities of data, possibly resulting in a monitoring society where individual activities are constantly kept track of and analyzed without adequate safeguards or openness.
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Sensitive user information gathered may consist of online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has actually tape-recorded millions of personal conversations and allowed short-term employees to listen to and [archmageriseswiki.com](http://archmageriseswiki.com/index.php/User:ShayBrobst66466) transcribe a few of them. [205] Opinions about this prevalent security variety from those who see it as a needed evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206] +
AI developers argue that this is the only method to provide important applications and have established a number of methods that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have begun to see privacy in terms of fairness. Brian Christian composed that professionals have pivoted "from the question of 'what they understand' to the question of 'what they're making with it'." [208] +
Generative [AI](https://gitlab.lycoops.be) is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code \ No newline at end of file