posted by user: rgiot || 1586 views || tracked by 1 users: [display]

XAIE 2022 : 2-nd WS on Explainable and Ethical AI – ICPR 2022

FacebookTwitterLinkedInGoogle

Link: https://xaie-icpr.labri.fr/
 
When Aug 21, 2022 - Aug 21, 2022
Where Montréal
Submission Deadline Apr 16, 2022
Notification Due May 31, 2022
Final Version Due Jun 6, 2022
Categories    machine learning   explainability   ethics   XAI
 

Call For Papers

# About

We are witnessing the emergence of an “AI economy and society” where AI technologies are increasingly impacting many aspects of business as well as everyday life. We read with great interest about recent advances in AI medical diagnostic systems, self-driving cars, ability of AI technology to automate many aspects of business decisions like loan approvals, hiring, policing etc. However, as evident by recent experiences, AI systems may produce errors, can exhibit overt or subtle bias, may be sensitive to noise in the data, and often lack technical and judicial transparency and explainability. These shortcomings have been documented in scientific but also and importantly in general press (accidents with self-driving cars, biases in AI-based policing, hiring and loan systems, biases in face recognition systems for people of color, seemingly correct medical diagnoses later found to be made due to wrong reasons etc.). These shortcomings are raising many ethical and policy concerns not only in technical and academic communities, but also among policymakers and general public, and will inevitably impede wider adoption of AI in society.

The problems related to Ethical AI are complex and broad and encompass not only technical issues but also legal, political and ethical ones. One of the key component of Ethical AI systems is explainability or transparency, but other issues like detecting bias, ability to control the outcomes, ability to objectively audit AI systems for ethics are also critical for successful applications and adoption of AI in society. Consequently, explainable and Ethical AI are very current and popular topics both in technical as well as in business, legal and philosophy communities. Many workshops in this field are held at top conferences, and we believe ICPR has to address this topic broadly and focus on its technical aspects. Our proposed workshop aims to address technical aspects of explainable and ethical AI in general, and include related applications and case studies with the aim to address this very important problems from a broad technical perspective.


# Topics

The topics comprise but are not limited to:

- Naturally explainable AI methods
- Post-Hoc Explanation methods of Deep Neural Networks and Transformers
- Technical issues in AI ethics including automated audits, detection of bias, ability to control AI systems to prevent harm and others
- Methods to improve AI explainability in general, including algorithms and evaluation methods
- User interface and visualization for achieving more explainable and ethical AI
- Real world applications and case studies




# Important dates

These dates are still subject to changes.

- April 16, 2022: Submission deadline
- May 24, 2022: Reviews due
- May 31, 2022: Final decision
- June 6, 2022: Camera ready and early bid registration deadline
- August 21, 2022: Workshop

Related Resources

EAIH 2024   Explainable AI for Health
ECAI 2024   27th European Conference on Artificial Intelligence
EAICI 2024   Explainable AI for Cancer Imaging
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
AI4SS Summer School 2024   Summer School on Artificial Intelligence for a Secure Society
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
CyberC (IEEE TCCC) 2024   CyberC (IEEE TCCC) 2024 – The 16th Int. Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
AIM@EPIA 2024   Artificial Intelligence in Medicine
EXPLAINS 2024   1st International Conference on Explainable AI for Neural and Symbolic Methods
ICMLA 2024   23rd International Conference on Machine Learning and Applications