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This workshop helps educators, administrators, and instructional designers navigate the ethical, equity, and governance challenges of AI in teaching and learning. Participants examine how AI tools affect student access, assessment, academic integrity, privacy, and institutional trust, with particular attention to bias, surveillance, and automation in educational technologies. The session provides a practical framework for evaluating AI tools before adoption, understanding regulatory and policy implications, and designing AI-informed practices that support learning rather than undermine it. Attendees leave with concrete questions, audit strategies, and decision-making tools they can apply immediately in classrooms, programs, and institutions.

Designed for legal professionals, this workshop focuses on the ethical, professional, and legal risks associated with AI use in legal research, writing, case analysis, and decision-making. Participants explore issues such as confidentiality, data privacy, bias in legal technologies, overreliance on automated systems, and accountability for AI-assisted work. Through real-world examples and applied scenarios, the workshop helps attorneys and legal teams assess AI tools in ways that align with professional responsibility standards and defensible practice. The emphasis is on informed oversight—understanding when AI can support legal work and when human judgment must remain central.

This workshop addresses the ethical, clinical, and organizational implications of AI use in healthcare, including decision support tools, risk prediction models, and systems that rely on social determinants of health data. Participants examine how AI can unintentionally reinforce bias, obscure accountability, or create patient safety risks if used without careful evaluation and governance. The session emphasizes the connections between AI ethics, patient trust, public health, labor considerations, and environmental impact, offering clinicians and administrators a structured approach to assessing AI tools beyond accuracy alone. Attendees gain practical strategies for asking critical questions, participating in oversight processes, and integrating AI in ways that support equitable, responsible patient care.

I provide professional instructional design services, helping organizations and educational programs create effective, engaging, and outcomes-driven learning experiences. Drawing on extensive experience in curriculum development, online education, and professional training, I design courses, modules, and training materials that align with organizational goals and learner needs. My approach emphasizes clear learning objectives, multimodal content, assessment strategies, and scalable, practical solutions that enhance knowledge retention and application. Whether developing new programs or redesigning existing ones, I work closely with teams to ensure instructional materials are accessible, engaging, and aligned with best practices in pedagogy.