Methods and tools for reading culture at scale.

AI ethics has become a thriving academic field — but most of it is normative, philosophical, or technical in orientation. What would it look like to study AI ethics empirically? How do we rigorously measure what people believe, value, and reason about AI across millions of data points? And what happens when the empirical findings challenge the assumptions of academic ethics frameworks? This course is built around a live research ecosystem — six interrelated projects at the intersection of philosophy, digital humanities, and AI — that has developed and applied exactly these methods. At its center is a four-strand xphi corpus study involving nearly one million public comments, expert panel validation, Canadian AIA governance corpus analysis, and LinkedIn value alignment data. Surrounding it are five satellite projects that extend the methodological range: a bilingual corpus study of Canadian AI governance documents (published at CSDH 2026); a game platform for philosophical debate that uses AI as both opponent and judge; a retrieval-augmented generation system over AI ethics literature; a YouTube analytics dashboard for social discourse research; and a philosophy PhD study platform with knowledge graphs spanning 22,000 nodes and 64,000 edges. Students engage this ecosystem directly. They reproduce elements of the analysis, compare methodological choices across projects, critique the approaches, and design their own empirical AI ethics investigations. Three advanced modules go beyond the standard graduate curriculum: computational hermeneutics (LLM-assisted semantic auditing for bilingual governance texts), scholarly RAG infrastructure (building grounded retrieval systems over ethics corpora), and metaethical foundations (what kind of claims are AI ethics claims — and what follows for empirical research?). By the end of the course, students will be prepared to conduct, publish, and critically evaluate original empirical research in AI ethics. ---

A survey course exploring what Digital Humanities looks like in African scholarly and cultural contexts. Students encounter foundational DH methods — text analysis, data modelling, digital archives, and network mapping — through African case studies drawn from literature, oral tradition, philosophy, and cultural heritage.

Focuses on the historical context and foundational ideas of Wittgenstein and Carnap, introducing key personalities and their projects without requiring deep engagement with dense primary texts. **Prerequisites:** None. This course is designed for students with no prior background in analytic philosophy. **Learning outcomes:** - Define analytic philosophy and logical positivism.<br>- Explain the core ideas of Wittgenstein's Tractatus. <br>- Describe the main tenets of the Vienna Circle.<br>- Contrast the basic philosophies of Wittgenstein and Carnap.

An accessible introduction to Digital Humanities for scholars from any discipline. Covers core concepts, methods, and tools — no programming experience required.

A 13-module practicum for DH scholars in Africa. Learn to analyse African literary, historical, and archival texts using Voyant Tools with an integrated Large Language Model companion — no prior programming experience required. Each module pairs a Voyant visualisation with an LLM interpretation in Spyral Notebooks.

Taught fully online during the six‑month program (~6 hours/week across three weekdays; time‑zone details provided). Certificate eligibility requires 80% attendance. Geared to learners who have completed foundations or possess equivalent knowledge, this course translates theory into practice across medical, mental‑health, educational, and community settings, emphasizing culturally grounded adaptation, outcome tracking, and sustainable program design and evaluation. **Prerequisites:** Completion of Music Therapy Foundations or equivalent is recommended. Students should have basic knowledge of therapeutic processes, assessment, and ethics before enrolling. **Learning outcomes:** - Apply music therapy methods in medical and rehabilitation settings - Use music interventions for mental health and psychosocial support - Plan and implement community-based music therapy initiatives - Adapt music therapy to educational and special needs contexts - Design and evaluate structured music therapy programs with measurable outcomes

Study entirely online within the six‑month program structure (~6 hours/week over three scheduled weekdays; times shared per time zone). A minimum of 80% attendance is mandatory to receive a certificate. Aimed at entry‑level learners and professionals pivoting into the field, it clarifies definitions, history, ethics, scope of practice, assessment, goal‑setting, and documentation to prepare learners for application‑focused work. **Prerequisites:** No strict prerequisites are required. This course is ideal for students new to music therapy as well as professionals in related fields (psychology, education, occupational therapy, social work, or healthcare) seeking to expand their skills. A basic familiarity with music concepts is helpful but not mandatory. **Learning outcomes:** - Define music therapy and articulate its historical and professional foundations - Identify the diverse roles of music therapists across settings and populations - Conduct structured assessments and set measurable therapeutic goals - Build and maintain ethical therapeutic relationships with appropriate boundaries - Apply codes of ethics and professional standards to real-world practice

Offered entirely online as part of the six‑month program cadence (~6 hours/week, three weekdays; scheduled per time zone). An 80% attendance rate is required to obtain a certificate. Targeted at intermediate learners, it explains how and why music works—covering neural and physiological responses, rhythm and entrainment, emotion modulation, and group synchrony—and links mechanisms to assessment, intervention choices, and evaluation. **Prerequisites:** Completion of Psychological Foundations or equivalent is recommended. Students should have an understanding of basic psychology and music therapy principles before taking this course. **Learning outcomes:** - Explain the neural and physiological systems involved in music perception and production - Apply entrainment principles to motor and speech rehabilitation - Analyze the role of melody and harmony in emotional regulation and memory recall - Facilitate group synchrony as a tool for social bonding and cohesion - Identify and apply relevant biomarkers for evaluating music therapy outcomes