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

08/02/2020
by   Roman V. Yampolskiy, et al.
2

Ambiguity is pervasive at multiple levels of linguistic analysis effectively making unambiguous communication impossible. As a consequence, natural language processing systems without true natural language understanding can be easily "fooled" by ambiguity, but crucially, AI also may use ambiguity to fool its users. Ambiguity impedes communication among humans, and thus also has the potential to be a source of failure in AI systems.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/13/2023

Linguistic ambiguity analysis in ChatGPT

Linguistic ambiguity is and has always been one of the main challenges i...
research
03/01/2023

Understanding Natural Language Understanding Systems. A Critical Analysis

The development of machines that «talk like us», also known as Natural L...
research
02/25/2022

Exploring Multi-Modal Representations for Ambiguity Detection Coreference Resolution in the SIMMC 2.0 Challenge

Anaphoric expressions, such as pronouns and referential descriptions, ar...
research
12/30/2021

Chatbot for fitness management using IBM Watson

Chatbots have revolutionized the way humans interact with computer syste...
research
06/12/2023

Deep Model Compression Also Helps Models Capture Ambiguity

Natural language understanding (NLU) tasks face a non-trivial amount of ...
research
11/11/2021

An Enactivist account of Mind Reading in Natural Language Understanding

In this paper we apply our understanding of the radical enactivist agend...
research
08/31/2022

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

In this talk, I argue that there are certain pragmatic features of natur...

Please sign up or login with your details

Forgot password? Click here to reset