Language and Intelligence, Artificial vs. Natural or What Can and What Cannot AI Do with NL?

08/31/2022
by   Gyula Klima, et al.
0

In this talk, I argue that there are certain pragmatic features of natural language (that I will call 'productivity' and 'malleability', on top of syntactical generativity and semantical compositionality), which are not only hard, but even impossible to capture in an artificial language used by an AI system, and the reason for this is to be found in certain deep, metaphysical differences between artificial and natural intelligence, accounting for the differences in their respective processes of concept-formation.

READ FULL TEXT
research
11/20/2019

Natural Language Generation Challenges for Explainable AI

Good quality explanations of artificial intelligence (XAI) reasoning mus...
research
11/12/2017

Self-Regulating Artificial General Intelligence

Here we examine the paperclip apocalypse concern for artificial general ...
research
08/03/2023

Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI

The concept of GenAI has been developed for decades. Until recently, it ...
research
09/21/2023

Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics

In the burgeoning field of artificial intelligence (AI), the unprecedent...
research
08/02/2020

Impossibility of Unambiguous Communication as a Source of Failure in AI Systems

Ambiguity is pervasive at multiple levels of linguistic analysis effecti...
research
11/02/2021

Cognitive Load and Productivity Implications in Human-Chatbot Interaction

The increasing progress in artificial intelligence and respective machin...

Please sign up or login with your details

Forgot password? Click here to reset