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Understanding and Avoiding AI Failures: A Practical Guide

Understanding and Avoiding AI Failures: A Practical Guide

22 April 2021
R. M. Williams
Roman V. Yampolskiy
ArXivPDFHTML

Papers citing "Understanding and Avoiding AI Failures: A Practical Guide"

6 / 6 papers shown
Title
Aligning Judgment Using Task Context and Explanations to Improve
  Human-Recommender System Performance
Aligning Judgment Using Task Context and Explanations to Improve Human-Recommender System Performance
Divya K. Srivastava
K. Feigh
19
0
0
16 Sep 2024
Reporting Risks in AI-based Assistive Technology Research: A Systematic
  Review
Reporting Risks in AI-based Assistive Technology Research: A Systematic Review
Zahra Ahmadi
Peter R. Lewis
Mahadeo Sukhai
16
0
0
01 Jul 2024
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the
  Generative Artificial Intelligence (AI) Research Landscape
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape
Timothy R. McIntosh
Teo Susnjak
Tong Liu
Paul Watters
Malka N. Halgamuge
83
46
0
18 Dec 2023
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
João Marques-Silva
LRM
XAI
39
39
0
24 Oct 2022
Establishing Meta-Decision-Making for AI: An Ontology of Relevance,
  Representation and Reasoning
Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning
C. Badea
Leilani H. Gilpin
21
5
0
02 Oct 2022
AI Risk Skepticism
AI Risk Skepticism
Roman V. Yampolskiy
17
4
0
02 May 2021
1