posted by organizer: yxie2 || 1355 views || tracked by 4 users: [display]

RAIDE 2022 : 1st International Workshop on Responsible AI and Data Ethics (In Conjunction with IEEE BigData 2022)

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/view/raide2022/
 
When Dec 17, 2022 - Dec 20, 2022
Where Osaka, Japan
Submission Deadline Oct 1, 2022
Notification Due Nov 1, 2022
Final Version Due Nov 20, 2022
Categories    ai ethics   responsible ai   data ethics   big data ethics
 

Call For Papers

AI/ML and other Big Data technologies are pervasive features of modern life that not only increasingly mediate our lives (e.g. – product recommenders, traffic navigation apps), but modulate them, as well (e.g. – recidivism prediction systems, resume screening). Their scale, ubiquity, and influence within social structures means ethical considerations are not negligible. While the potential benefits of AI and other Big Data technologies are undeniable, the hazards are numerous and recent years have seen harms befall individuals, groups, and, in some cases, entire societies. Much of the response has focused on high-level ethical principles and frameworks, but practitioners often struggle to put these principles into practice.

This workshop seeks to establish an international venue that brings together researchers and practitioners to promote awareness and research activities on ethical issues in AI and Data science, showcase new methods and best practices, explore the unknown and challenges, and foster cross-cultural collaboration and exchange of ideas. We expressly welcome research that interfaces with abstract normative concepts (e.g. – justice, fairness, trustworthiness, beneficence), moral stakeholders, and wicked sociotechnical problems to characterize issues and understand fundamental tensions and trade-offs. We also welcome research focused on ethically-aware methods for AI and Big Data, from developing diagnostic tools and best practices to formulating contextually-appropriate interventions and technical tools to mitigate harms where possible.

Research facilitating deeper understanding of the Applied AI Ethics problemdomain including, but not limited to:
- Taxonomical research
- Case studies and empirical investigations
- Applied philosophical work
- Relevant work from sociology, psychology, and other socialsciences
- Best practices and procedures, including diagnostic tools, documentation for improving transparency and accountability, and approaches to oversight and governance
- Application papers discussing specific implementations
- Ethically-aware methods in AI, Machine Learning and Big Data
- Contributions to specific sub-domains of Applied AI Ethics, including but not limited to:
--Fairness and Bias (FairML)
--Explainability and Interpretability (XAI)
--Robustness, Reliability, and Trustworthiness (RobustML, AI Alignment, AI Safety)
--Privacy, Anonymity, and Security (Private and Secure AI)
--Sustainability
--Oversight and Governance
--Foresight, Feedback, and Ethical Alignment in Dynamical Systems
--Transparency and Accountability
--Beneficence, Non-maleficence, and AI for Social Good (AI4SG)

Related Resources

AusDM 2024   Australasian Data Mining Conference
AIPIDAY 2025   AI on Pi Day
CyberHunt 2024   7th Annual Workshop on Cyber Threat Intelligence and Hunting in conjunction with the IEEE Big Data Conference
FAIEMA 2024   2nd International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications
FAccTRec 2024   7th FAccTRec Workshop on Responsible Recommendation
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
ICBICC 2024   2024 International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2024)
ICONDATA 2024   6th International Conference on Data Science and Applications