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Demystifying Artificial Intelligence: A Guide to Understanding and Trusting AI Systems

Published on:

7 February 2023

Primary Category:

Artificial Intelligence

Paper Authors:

Maryam Hashemi

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Key Details

Reviews philosophy, practice and theory behind explainable AI (XAI)

Proposes mapping users, goals and methods to choose optimal XAI techniques

Identifies desired properties like causality missing from current XAI methods

Suggests research directions such as studying misleading information in XAI

Recommends identifying immutable features from time-series data monitoring

AI generated summary

Demystifying Artificial Intelligence: A Guide to Understanding and Trusting AI Systems

This paper provides a comprehensive yet accessible overview of artificial intelligence systems, explaining key concepts and outlining strategies to build trust between humans and AI. The focus is on clarifying how AI algorithms work and make decisions in order to increase public understanding and facilitate human-AI collaboration.

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