Technological Forecasting and Social Change (Journal)

Shakir, M. A. (Guest editor)
Xu, M. (Guest editor)
Duc Khuong Nguyen (Guest editor)
Bhumika Gupta (Guest editor)

Activity: Publication peer-review and editorial work types › Editorial activity

Description of Activity

Managing Guest Editor of Special Issue on the Topic: Advancing Responsible AI Composition: Embracing Explainability for Practical Implementation.

Period	30 Oct 2024 → 15 Jan 2026
Type of journal	Journal
ISSN	0040-1625
Degree of Recognition	International

Keywords

Responsible AI
Explianability
experiential learning
Contextual Information

Documents & Links

This special issue seeks to explore innovative approaches and methodologies to advance responsible AI with a particular emphasis on explainability and responsibility of AI. The focus is on extending traditional IS and human-computer interface theories and techniques by integrating new dimensions, such as experiential learning, unique contextual learning, user interactions, and organizational dependencies. By incorporating these elements, the goal is to contribute to a more comprehensive responsible AI development and deployment that effectively supports decision-makers.