Teaching on Dr. Nishanth K Shttps://nishanthks.pages.dev/teaching/Recent content in Teaching on Dr. Nishanth K SHugoen-USThu, 15 Jan 2026 00:00:00 +0000AI Minds and Moral Statushttps://nishanthks.pages.dev/teaching/ai-minds-course/Thu, 15 Jan 2026 00:00:00 +0000https://nishanthks.pages.dev/teaching/ai-minds-course/<h2 id="course-overview">Course Overview</h2> <p>This course examines functional integration as a criterion for AI consciousness and moral status.</p> <h2 id="syllabus">Syllabus</h2> <ul> <li>Week 1: Introduction to AI Minds</li> <li>Week 2: Functional Integration</li> <li>Week 3: Ethical Implications</li> <li>Week 4: Case Studies</li> <li>Week 5: Student Presentations</li> </ul> <h2 id="resources">Resources</h2> <ul> <li><a href="https://nishanthks.pages.dev/notes/ai-minds">Lecture Notes</a></li> <li><a href="https://nishanthks.pages.dev/assignments/ai-minds">Assignments</a></li> <li><a href="https://nishanthks.pages.dev/pdfs/ai-minds-readings.pdf">Reading List</a></li> </ul>Introduction to Cognitive Sciencehttps://nishanthks.pages.dev/teaching/cognitive-science-intro/Thu, 15 Jan 2026 00:00:00 +0000https://nishanthks.pages.dev/teaching/cognitive-science-intro/<h2 id="course-overview">Course Overview</h2> <p>Introductory course covering the foundations of cognitive science.</p> <h2 id="syllabus">Syllabus</h2> <ul> <li>Week 1: History of Cognitive Science</li> <li>Week 2: Perception</li> <li>Week 3: Memory</li> <li>Week 4: Language</li> <li>Week 5: Decision Making</li> </ul> <h2 id="resources">Resources</h2> <ul> <li><a href="https://nishanthks.pages.dev/pdfs/cogsci-syllabus.pdf">Syllabus PDF</a></li> <li><a href="https://nishanthks.pages.dev/assignments/cogsci">Assignments</a></li> </ul>Philosophy of Mindhttps://nishanthks.pages.dev/teaching/philosophy-mind/Thu, 15 Jan 2026 00:00:00 +0000https://nishanthks.pages.dev/teaching/philosophy-mind/<h2 id="course-overview">Course Overview</h2> <p>A deep dive into philosophical theories of mind, consciousness, and intentionality.</p> <h2 id="syllabus">Syllabus</h2> <ul> <li>Week 1: Dualism vs Physicalism</li> <li>Week 2: Intentionality</li> <li>Week 3: Qualia</li> <li>Week 4: Functionalism</li> <li>Week 5: Contemporary Debates</li> </ul> <h2 id="resources">Resources</h2> <ul> <li><a href="https://nishanthks.pages.dev/pdfs/philosophy-mind-readings.pdf">Reading List</a></li> </ul>Computational Models of Mindhttps://nishanthks.pages.dev/teaching/computational-mind/Mon, 01 Sep 2025 00:00:00 +0000https://nishanthks.pages.dev/teaching/computational-mind/<h2 id="course-overview">Course Overview</h2> <p>Students learned how computational models simulate perception, memory, and reasoning.</p> <h2 id="topics">Topics</h2> <ul> <li>Symbolic AI</li> <li>Connectionism</li> <li>Bayesian models</li> </ul>Ethics of Artificial Intelligencehttps://nishanthks.pages.dev/teaching/ethics-ai/Mon, 01 Sep 2025 00:00:00 +0000https://nishanthks.pages.dev/teaching/ethics-ai/<h2 id="course-overview">Course Overview</h2> <p>This course examined ethical challenges posed by AI systems.</p> <h2 id="topics">Topics</h2> <ul> <li>Bias in AI</li> <li>Responsibility and accountability</li> <li>AI and human rights</li> </ul>Neuroethicshttps://nishanthks.pages.dev/teaching/neuroethics-course/Mon, 01 Sep 2025 00:00:00 +0000https://nishanthks.pages.dev/teaching/neuroethics-course/<h2 id="course-overview">Course Overview</h2> <p>This course explored ethical questions raised by advances in neuroscience.</p> <h2 id="topics">Topics</h2> <ul> <li>Brain privacy</li> <li>Cognitive enhancement</li> <li>Neurotechnology and society</li> </ul>Amy Leehttps://nishanthks.pages.dev/teaching/supervision-amy-lee/Mon, 01 Jan 0001 00:00:00 +0000https://nishanthks.pages.dev/teaching/supervision-amy-lee/<h2 id="abstract">Abstract</h2> <p>Amy’s PhD project investigates how cultural context shapes neural correlates of selfhood.</p>Jane Doehttps://nishanthks.pages.dev/teaching/supervision-jane-doe/Mon, 01 Jan 0001 00:00:00 +0000https://nishanthks.pages.dev/teaching/supervision-jane-doe/<h2 id="abstract">Abstract</h2> <p>Jane’s work focuses on predictive processing accounts of phenomenal consciousness.</p>John Smithhttps://nishanthks.pages.dev/teaching/supervision-john-smith/Mon, 01 Jan 0001 00:00:00 +0000https://nishanthks.pages.dev/teaching/supervision-john-smith/<h2 id="abstract">Abstract</h2> <p>John’s dissertation examined accountability and bias in AI diagnostic systems.</p>