Bias Mitigation
bias mitigation
Brandon (Brad) Minnery
We currently have an opening for a full-time Senior Human-Computer Interaction Researcher whose work seeks to incorporate recent advances in generative large language models (LLMs). Specific research areas of interest include human-machine dialogue, human-AI alignment, trust (and over-trust) in AI, and the use of multimodal generative AI approaches in conjunction with other tools and techniques (e.g., virtual and/or augmented reality) to accelerate learning in real-world task environments. Additional related projects underway at Kairos involve the integration of generative AI into interactive dashboards for visualizing and interrogating social media narratives. The Human-Computer Interaction Researcher will play a significant role in supporting our growing body of work with DARPA, Special Operations Command, the Air Force Research Laboratory, and other federal sponsors.
Louis Marti
We currently have an opening for a full-time Senior Human-Computer Interaction Researcher whose work seeks to incorporate recent advances in generative large language models (LLMs). Specific research areas of interest include human-machine dialogue, human-AI alignment, trust (and over-trust) in AI, and the use of multimodal generative AI approaches in conjunction with other tools and techniques (e.g., virtual and/or augmented reality) to accelerate learning in real-world task environments. Additional related projects underway at Kairos involve the integration of generative AI into interactive dashboards for visualizing and interrogating social media narratives. The Human-Computer Interaction Researcher will play a significant role in supporting our growing body of work with DARPA, Special Operations Command, the Air Force Research Laboratory, and other federal sponsors.
Data-driven Artificial Social Intelligence: From Social Appropriateness to Fairness
Designing artificially intelligent systems and interfaces with socio-emotional skills is a challenging task. Progress in industry and developments in academia provide us a positive outlook, however, the artificial social and emotional intelligence of the current technology is still limited. My lab’s research has been pushing the state of the art in a wide spectrum of research topics in this area, including the design and creation of new datasets; novel feature representations and learning algorithms for sensing and understanding human nonverbal behaviours in solo, dyadic and group settings; designing longitudinal human-robot interaction studies for wellbeing; and investigating how to mitigate the bias that creeps into these systems. In this talk, I will present some of my research team’s explorations in these areas including social appropriateness of robot actions, virtual reality based cognitive training with affective adaptation, and bias and fairness in data-driven emotionally intelligent systems.