Jordan Vice
Papers
1
Total Citations
9
H-Index
1
About
Jordan Vice is a researcher at the forefront of accountable and explainable artificial intelligence (AXAI), with a specific focus on bridging the gap between theoretical AI ethics and real-world robotic systems. His work centers on developing transparent, human-centered AI frameworks that ensure machine decisions are not only accurate but also interpretable and ethically sound. Vice’s most notable contribution is the implementation of the AXAI capability framework, which he operationalized within a robotic system’s real-time Affective State Assessment Module (ASAM). This pioneering work, detailed in his highly cited 2022 paper, demonstrates how explainability can be embedded directly into affective computing—enabling robots to both recognize human emotional states and justify their assessments in a manner that is accountable to users. With 9 citations, this paper has already influenced discussions on AI transparency in human-robot interaction. Vice’s research is particularly impactful for students and engineers seeking to design AI systems that are not only powerful but also trustworthy, offering a concrete blueprint for integrating ethical accountability into the very architecture of intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1