[Fis] FIS Discussion Session on AI
钟义信
zyx at bupt.edu.cn
Mon Oct 16 08:43:51 CEST 2023
Dear Pedro and All Colleagues,
Thank you very much for participating in the discussion on "Paradigm Change in AI", a declaration released by 2023 International Conference on the Study of Information held August 14-16, 2023.
Please find the notes in attachment which I thought may be useful for the discussion. Any comments on the declaration and the notes are most welcome.
Thank you again!
Prof. Yixin ZHONG
AI School, BUPT
Beijing 100876, China
------------------ Original ------------------
From: "Pedro C. Marijuán"<pedroc.marijuan at gmail.com>;
Date: Fri, Oct 13, 2023 07:11 PM
To: "fis"<fis at listas.unizar.es>;
Subject: [Fis] FIS Discussion Session on AI
Dear FIS Colleagues,
Many thanks to Yixin and Eric for their contributions. Both represent interesting (partial) approaches to the brave new world that AI and related technologies are in the process of enacting.
I had the opportunity to briefly discuss with Yixin on the AI Paradigm. My basic point of view is that we all are still ignoring the general nature of intelligence.
There is a biological root (exactly, cellular) that very few people consider and try to connect with neuronal or social manifestations of intelligence.
Failing to see the way the living cell strategically organizes its processing resources to enact a life cycle, means leaving in the pure air the crucial use of our own informational resources to, yes, advance our own lives.
Eric's contribution is an step on that direction, but within the formal approaches to info/meaning/knowledge. Insufficient thus.
The problem is that we as individuals disappear from the scientific-technological landscape --only left for datafication, for control.
The human life cycle's global intelligence is mainly handled via (mostly social) emotions, also an ill-defined, ill-understood territory in science...
That our social emotions are completely misunderstood and mishandled at the social level is horribly seen these days/months/years...
I disagree with the critical, negativist approaches to AI, which I think has a great merit and transformative possibilities --- if, and only if, it is accompanied by a deep scientific change.
Call it new paradigm, social information or whatever. I see more alive than ever the original goals of this list 25 years ago: Foundations of Information Science!
Best wishes to all,
Pedro
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Pedro C. Marijuán
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