1) Strategic Scientific Leadership and vision for AI - Define and lead a multi-year research agenda at the intersection of AI and measurement, including: - automated scoring and evaluation (writing, speaking, constructed response, performance tasks) - LLM-enabled assessment design and delivery (e.g., generative task creation, adaptive interactions) - NLP and multimodal modeling for language and skills measurement - psychometric modeling integrated with ML (hybrid models, fairness-aware measurement, Bayesian/ IRT deep learning) - model evaluation frameworks aligned to validity arguments and operational constraints - responsible AI for high-stakes testing (bias, transparency, privacy, security, governance) - Identify emerging opportunities in AI - Serve as a scientific thought leader for ETS on AI-enabled assessment innovation, identifying emerging techniques, risks, and opportunities. - - 2) Research & Innovation Management - - - Lead the design and implementation of complex AI focused ...Research, Assessment, Director, AI, Program Leader, Leadership, Technology