posted by organizer: Aholzinger || 2283 views || tracked by 5 users: [display]

CfP Journal (SCI IF=2,5) 2019 : Springer/Nature BMC MIDM Explainable AI in Medical Informatics and Decision Support


When N/A
Where N/A
Submission Deadline Mar 30, 2019
Categories    explainability   explainable ai   causality   transparent machine learning

Call For Papers

Special Collection Springer/Nature BMC Medical Informatics and Decision Support
Full open access SCI-IF = 2,5

Explainable AI in Medical Informatics and Decision Support
Call for papers

Based on a successful workshop on explainable AI during the Cross Domain for Machine Learning and Knowledge Extraction (CD-MAKE) 2018 conference, we launch this call for a special issue at BMC Medical Informatics and Decision Making, with the possibility to present the papers at the next session on explainable AI during the CD-MAKE 2019 conference in Kent (Canterbury, UK) at the end of August 2019.

We want to inspire cross-domain experts interested in artificial intelligence/machine learning to stimulate research, engineering and evaluation in, around and for explainable AI - towards making machine decisions transparent, re-enactive, comprehensible, interpretable, thus explainable, re-traceable and reproducible; the latter is the cornerstone of scientific research per se!

We foster cross-disciplinary and interdisciplinary work including but not limited to:

Novel methods, algorithms, tools for supporting explainable AI
Proof-of-concepts and demonstrators of how to integrate explainable AI into workflows
Frameworks, architectures, algorithms and tools to support post-hoc and ante-hoc explainability and causality machine learning
Theoretical approaches of explainability ("What is a good explanation?")
Towards argumentation theories of explanation and issues of cognition
Comparison Human intelligence vs. Artificial Intelligence (HCI -- KDD)
Interactive machine learning with human(s)-in-the-loop (crowd intelligence)
Explanation User Interfaces and Human-Computer Interaction (HCI) for explainable AI
Novel Intelligent User Interfaces and affective computing approaches
Fairness, accountability and trust
Ethical aspects, law and social responsibility
Business aspects of explainable AI
Self-explanatory agents and decision support systems
Explanation agents and recommender systems
Combination of statistical learning approaches with large knowledge repositories (ontologies)

The grand goal of future explainable AI is to make results understandable and transparent and to answer questions of how and why a result was achieved. In fact: “Can we explain how and why a specific result was achieved by an algorithm?”

Submission for this special issue is open until 30 March 2019. The special issue is overseen by Section Editor Andreas Holzinger.

Related Resources

CFP for ROMARD Journal 2023   Call for Submissions to ROMARD: Research on Medieval and Renaissance Drama
SENSORS SI: Human Centered AI 2022   Human Centered Artificial Intelligence: Putting the Human in the Loop for Implementing Sensors Based Intelligent Environments
SI CFP IEEE OJ-COMS 2022   Intelligent Communication and Perceptual of Smart City Towards 6G: Emerging Trends and Challenges
ReVIEWING BMC 2022   Call for Proposals: ReVIEWING Black Mountain College 13
CFP- HAAL 2024   CFP- The Handbook of African American Literature in the Twenty-first Century
CoCo4MT 2022   2nd CFP - The First Workshop on Corpus Generation and Corpus Augmentation for Machine Translation
CFP IJFMA Vol 8 No 1 2023   NEW DEADLINE !! CFP IJFMA Vol. 8 No. 1 Interaction, Challenge, and Learning: Innovations in Gaming for Serious Purposes
CFP IJFMA Vol 8 No 2 2023   CFP IJFMA Vol. 8 No. 2 Precarity and the Moving Image
SI_Future_Aerial_GroundNet 2022   CFP: CMES (SCIE, IF: 1.593) Special Issue on the Issues and Challenges in Futuristic Aerial-Ground Networks
NeMLA 2023   NeMLA 2023 - CFP “Resiliency in the Face of Trauma”