2025 Intern: Research Scientist - Human-Centered Generative AI
IBM
This is for a 2025 summer internship with the following start dates: May - August or June - September for quarter system schools.
Generative AI and foundation models have introduced a paradigm shift in how we interact with AI systems. The mission of the human-centered AI teams at IBM Research is to create trustworthy, safe, and effective user experiences with generative AI. Our research focuses on (1) user perspectives of making generative AI systems safe and trustworthy by addressing new harms and risks being introduced compared to traditional AI, and (2) on designing, building, and validating novel user experiences or visualizations with generative AI systems that address the challenges of interacting with intent-based system. We are looking for interns with a background in HCI, Data Visualization, Interaction, Visual, and Experimental Design, or similar who can help us tackle these new challenges. Topics of interest include but are not limited to new techniques and approaches for visual data exploration & analysis, novel user interfaces and visualizations for effective large language model (LLM) prompting, trust & reliance in LLM outputs, explainability of LLMs, including source attribution & rationale generation, foundation model selection and comparison for enterprise use cases, foundation model risk assessment, governance & risk mitigation techniques, understanding synergy in human-AI collaborations, and human-centered and task-specific evaluation techniques and benchmarks.
Generative AI and foundation models have introduced a paradigm shift in how we interact with AI systems. The mission of the human-centered AI teams at IBM Research is to create trustworthy, safe, and effective user experiences with generative AI. Our research focuses on (1) user perspectives of making generative AI systems safe and trustworthy by addressing new harms and risks being introduced compared to traditional AI, and (2) on designing, building, and validating novel user experiences or visualizations with generative AI systems that address the challenges of interacting with intent-based system. We are looking for interns with a background in HCI, Data Visualization, Interaction, Visual, and Experimental Design, or similar who can help us tackle these new challenges. Topics of interest include but are not limited to new techniques and approaches for visual data exploration & analysis, novel user interfaces and visualizations for effective large language model (LLM) prompting, trust & reliance in LLM outputs, explainability of LLMs, including source attribution & rationale generation, foundation model selection and comparison for enterprise use cases, foundation model risk assessment, governance & risk mitigation techniques, understanding synergy in human-AI collaborations, and human-centered and task-specific evaluation techniques and benchmarks.
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