Organizers:

  • Mehul Maharishi, SKIT Jaipur, India
  • Mithlesh Arya, SKIT Jaipur, India
  • Dr John Martin, Jazan University, Saudi Arabia

 

Human-AI collaboration in decision support refers to the partnership between humans and artificial intelligence systems to enhance decision-making processes. These systems aim to combine human intuition and domain expertise with AI & data-driven analysis and speed. Collaboration can be either sequential (AI suggests, human decides) or interactive (continuous feedback between both). Trust, transparency, and explainability are essential for effective teamwork. Such systems are used in high-stakes fields like healthcare, finance, legal, defense, and education. They help reduce human bias, cognitive overload, and errors in complex scenarios. AI tools may offer predictions, recommend options, or highlight risks to support users. The human remains accountable, while the AI provides augmented intelligence rather than replacing human judgment. Successful collaboration requires designing interfaces that are user-friendly and ethically aligned. Ultimately, the goal is to make decisions that are faster, fairer, and more informed through human-AI synergy.

Topic of Interest (but not limited to):

  • Design of Explainable AI Systems for Collaborative Decision-Making
  • Cognitive Load Optimization in Human-AI Decision Systems
  • AI-Augmented Decision Support in Education and Learning Analytics
  • Ethical Frameworks for Shared Decision-Making with AI
  • Human-AI Collaboration in Clinical Decision Support Systems

Submission Guidelines: All submissions must comply with the IHCI-2025 submission guidelines. Authors are required to submit their papers electronically via the Microsoft CMT portal, under the track entitled “Special Session 2: Human-AI Collaboration in Decision Support Systems”.