Hiding in plain sight: Algorithmic Transparency and Explainability under the GDPR : Legal and Technical Challenges in Applying the GDPR’s Provisions on Transparency and Explainability to Algorithmic AI Systems

Hiding in plain sight: Algorithmic Transparency and Explainability under the GDPR : Legal and Technical Challenges in Applying the GDPR’s Provisions on Transparency and Explainability to Algorithmic AI Systems

Publication Details

Journal
KTH Publication Database DiVA (KTH Royal Institute of Technology)
Published
2025-01-01
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hiding in plain sight: Algorithmic Transparency and Explainability under the GDPR : Legal and Technical Challenges in Applying the GDPR’s Provisions on Transparency and Explainability to Algorithmic AI Systems

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Ethics and Social Impacts of AI
article

Hiding in plain sight: Algorithmic Transparency and Explainability under the GDPR : Legal and Technical Challenges in Applying the GDPR’s Provisions on Transparency and Explainability to Algorithmic AI Systems

article en

Abstract

Hiding in plain sight: Algorithmic Transparency and Explainability under the GDPR : Legal and Technical Challenges in Applying the GDPR’s Provisions on Transparency and Explainability to Algorithmic AI Systems

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Decent work and economic growth
Openalex Percentile: Top 46%
Ethics and Social Impacts of AI
Open Access PDFOpenAlex
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.

Hiding in plain sight: Algorithmic Transparency and Explainability under the GDPR : Legal and Technical Challenges in Applying the GDPR’s Provisions on Transparency and Explainability to Algorithmic AI Systems · KTH Publication Database DiVA (KTH Royal Institute of Technology) (2025) | TGRS Research Map | TGRS