From 6cb0aa17d54eabcb1f9d723f794a70766e0e72c3 Mon Sep 17 00:00:00 2001 From: soonbriley5594 Date: Sun, 16 Feb 2025 00:44:00 +0800 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..c2ceb14 --- /dev/null +++ b/AI-Pioneers-such-as-Yoshua-Bengio.md @@ -0,0 +1,5 @@ +
Artificial intelligence algorithms require big amounts of information. The strategies used to obtain this data have actually raised concerns about privacy, security and copyright.
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AI-powered devices and services, such as virtual assistants and IoT items, continuously collect individual details, raising issues about intrusive data event and unauthorized gain access to by 3rd parties. The loss of personal privacy is further exacerbated by AI's capability to procedure and combine huge quantities of data, potentially causing a surveillance society where specific activities are continuously kept an eye on and evaluated without appropriate safeguards or openness.
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Sensitive user information gathered may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has actually taped countless personal discussions and permitted temporary employees to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance variety from those who see it as a necessary evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206] +
AI developers argue that this is the only method to provide valuable applications and have established a number of techniques that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian composed that professionals have actually rotated "from the question of 'what they understand' to the concern of 'what they're making with it'." [208] +
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