Welcome to the Workshop
Artificial Intelligence (AI) is perfect in a workd without humans. However, AI is for the human, by the human, of the human. In this workshop we explore ethical challenges in conceptualization, development and evaluation of multi-modal AI when integrated with human. We focus on human in the loop AI systems that interact with physical systems or plants which may also involve humans in several roles. We hope to engage the AI community of WACV in an in depth discussion on ethical issues related to bias, explainability, data leakage, human/ user centric evaluation, privacy preserved learning, generalization, and expert knowledge driven AI. Join us for an in-depth exploration of ethical challenges in multi-modal AI for healthcare. This workshop addresses critical issues such as AI's role in precision medicine, expert-guided decision making, and the ethical considerations of AI-driven diagnostics.
Key Themes
- Explainability and transparency in multi-modal AI
- Human-AI collaboration in medical decision-making
- Patient-centric AI approaches for personalized care
- Ethical use of AI in high-stakes medical applications
Explore the links above for more details on the organizing committee, paper submission guidelines, key dates, and the program schedule. We look forward to your contributions and participation in shaping the future of ethical AI in healthcare.