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Unanswerable Questions About Images and Texts.

Ernest Davis1

  • 1Department of Computer Science, New York University, New York, NY, United States.

Frontiers in Artificial Intelligence
|March 18, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) faces challenges with unanswerable questions in visual question answering (VQA) and textual question answering (QA). Addressing these limitations is crucial for advancing AI capabilities.

Keywords:
QASQUADVQAVizWizquestion answeringunanswerable questionsvisual question answering

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Area of Science:

  • Artificial Intelligence
  • Computer Vision
  • Natural Language Processing

Background:

  • Unanswerable questions pose unique challenges for AI systems.
  • Existing AI models often struggle to identify or handle questions beyond their knowledge or visual comprehension capabilities.

Purpose of the Study:

  • To discuss the problem of unanswerable questions in AI.
  • To explore these issues within the contexts of Visual Question Answering (VQA) and Textual Question Answering (QA).

Main Methods:

  • Conceptual analysis of AI limitations.
  • Review of current approaches in VQA and QA regarding unanswerable queries.

Main Results:

  • Unanswerable questions highlight the boundaries of AI understanding and reasoning.
  • Current AI systems lack robust mechanisms for detecting and responding appropriately to unanswerable questions.

Conclusions:

  • Recognizing and addressing unanswerable questions is essential for developing more reliable and trustworthy AI.
  • Further research is needed to improve AI's ability to identify and manage questions it cannot answer.