Tag: #HumanAI
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Why Can the Brain (And Not a Computer) Make Sense of the Liar Paradox?
Ordinary computing machines prohibit self-reference because it leads to logical inconsistencies and undecidability. In contrast, the human mind can understand self-referential statements without necessitating physically impossible brain states. Why can the brain make sense of self-reference? This paper addresses this question by defining the Strange Loop Model, which features causal feedback between two brain modules,…
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What Does It Mean for AI to Understand?
Melanie Mitchell has a great article, she just announced at Complexity Digest: Language models can generate uncannily humanlike prose (and poetry!) and seemingly perform sophisticated linguistic reasoning. How can we test if these machines actually understand what they’re doing? Read the full article at: www.quantamagazine.orghttps://www.quantamagazine.org/what-does-it-mean-for-ai-to-understand-20211216/# Understanding language requires understanding the world, and a machine exposed only…
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Designing for Human-AI interaction is hard. (So steal like an artist :-)
Following is and interesting article/blog , and just “stolen like an artist” from https://www.simonoregan.com/short-thoughts/the-design-difficulties-of-human-ai-interaction Designing for Human-AI interaction is hard. Here Yang et al. catalog where designers run into problems when applying the traditional 4Ds process to designing AI systems. These difficulties can be broadly attributed to two sources: This uncertainty and complexity combination then…
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AI: Analogy Included ?
There is a great Quanta article on Melanie Mitchell, discussing her effort to include analogy into AI. Some quotes: “Today’s state-of-the-art neural networks are very good at certain tasks, but they’re very bad at taking what they’ve learned in one kind of situation and transferring it to another” — the essence of analogy. “Analogy isn’t…
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Decision Intelligence – some basics
Google’s chief decision scientist Cassie Kozyrkov says that the ultimate business advantage in using AI is decision intelligence — the automation of the full action-to-outcome process. “Decision intelligence is the discipline of turning information into better actions at any scale.” If you think that AI takes the human out of the equation, think again! Cassie Kozyrkov, Introduction to Decision…
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Nice quote ..
I do like followin quote from “How decision intelligence supported by AI and analytics help businesses?“, since it is putting the human capabilities in front … Decision intelligence substantially works on major steps, including collecting and observing information, investigating the data collected, modeling actions, and contextualizing and executing the model…Incorporating both human and machine capabilities…
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Friston: The Genius Neuroscientist Who Might Hold the Key to True AI, WIRED says.
Karl Friston’s free energy principle might be the most all-encompassing idea since Charles Darwin’s theory of natural selection. But to understand it, you need to peer inside the mind of Friston himself. Wired has a great article on this idea and researcher.Some inspiring exerpts and quotes: He realized that [it] had no larger purpose, at…
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Mitchell on AI: key misunderstandings
4 key misunderstandings in AI is an interesting blog entry, discussing following topics:– Narrow AI and general AI are not on the same scale– The easy things are hard to automate – Anthropomorphizing AI doesn’t help – AI without a body– Common sense in AI The blog is based on a great paper from Melanie…
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Information Lens – Workshop
The “information century” was launched by Turing’s 1936 invention of a hardware-independent notion of computing, a “universal computer” that could be programmed to simulate any other computer; and by Shannon’s 1948 discovery of a mathematical theory of communications independent of their physical form and even their meaning. Arguably, we are today in the midst of…
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