2026 BAIR Graduate Showcase
Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D. graduates whose curiosity, creativity, and perseverance have pushed the frontiers of artificial intelligence and machine learning. Their work spans the breadth of modern AI — robotics and embodied intelligence, large language models and reasoning, computer vision, generative modeling, AI safety, human-AI interaction, AI for science and healthcare
Record details
Published: 1 July 2026
Source: Bair Blog (Berkeley AI Research)
Category: Field notes
Topics: Safety & alignment · Healthcare · Agents & autonomy
Retrieved: 14 July 2026
Related evidence
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arXiv · 3 July 2026
RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models
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Relevance as a Vulnerability: How Web Retrieval Degrades Safety Alignment in LLM Agents
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Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains
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How to cite this record
ethics.ai (1 July 2026), “2026 BAIR Graduate Showcase,” evidence record 2500, https://ethics.ai/record/2500 (originally published by Bair Blog (Berkeley AI Research)).
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