The Quest for Explainability in Artificial Intelligence: Challenges, Progress, and Future Directions

Picture yourself in front of a master of chess who always gets it right but cannot tell you why. This scenario mirrors one of the most pressing challenges in modern artificial intelligence: the black box problem. Given that we would never trust a judge who cannot justify their verdicts, we ought to be wary of the same hold our AI systems in important decisions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-04
DOI
https://doi.org/10.5281/zenodo.14031797
Primary Topic
Cephalopods and Marine Biology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Quest for Explainability in Artificial Intelligence: Challenges, Progress, and Future Directions

Zenodo (CERN European Organization for Nuclear Research)
Cephalopods and Marine Biology
article

The Quest for Explainability in Artificial Intelligence: Challenges, Progress, and Future Directions

article en

Abstract

Picture yourself in front of a master of chess who always gets it right but cannot tell you why. This scenario mirrors one of the most pressing challenges in modern artificial intelligence: the black box problem. Given that we would never trust a judge who cannot justify their verdicts, we ought to be wary of the same hold our AI systems in important decisions.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 57%
Cephalopods and Marine Biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Quest for Explainability in Artificial Intelligence: Challenges, Progress, and Future Directions · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS