CMU launched the first BS in Artificial Intelligence, combining rigorous CS theory with human-centered design and responsible deployment. Courses span probabilistic reasoning, deep learning, and societal impacts, while research apprenticeships embed students in labs pioneering trustworthy LLMs, self-driving vehicles, and AI for social good. Expect to publish in NeurIPS or ACL before you graduate—and to debate algorithmic bias with policymakers on Capitol Hill during the annual AI Day outreach trip.
Contrastive self-supervised learning pipeline for plant-disease detection on low-resource farms
Transformer-based legal document summarizer evaluated on factuality and fairness
Reinforcement-learning agent optimizing HVAC energy use in smart buildings
Explainable CNN for pathology slide grading with saliency map user study
Bias-mitigation algorithm for facial recognition using synthetic overlay augmentation
Graph neural network predicting battery degradation trajectories for EV fleets
Multi-modal LLM integrating satellite imagery and textual reports for disaster response
Federated learning framework for privacy-preserving mobile keyboard prediction
Open-ended dialog agent fine-tuned with constitutional RLHF on mental-health support corpora
Vision-language navigation model for autonomous wheelchair assistance
Active-learning strategy reducing labeling costs in wildlife conservation drones
Synthetic voice cloning detection using adversarial spectrogram fingerprints
Ethical impact assessment tool quantifying downstream harms of predictive policing models
Deepfake video classifier leveraging frequency-domain forensic cues
Dynamic knowledge graph construction from scientific papers with zero-shot entity linking
Curriculum-based RL for bipedal robot locomotion on uneven terrain
Emotion-aware tutoring chatbot evaluated on student engagement metrics
Neuro-symbolic program synthesis for individualized STEM education content
Probabilistic programming approach to combine epidemiological models and mobility data
Open-source benchmarking suite for green AI measuring compute and carbon footprints
Invent responsible, human-centered AI solutions where the field was born—at CMU.
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