Year 2 Begins
Reflections on beginning the second year of the AI Ethics programme, with fewer courses but the added challenge of a full research dissertation.
11 posts tagged "coursework"
Reflections on beginning the second year of the AI Ethics programme, with fewer courses but the added challenge of a full research dissertation.
End-of-semester reflections on the Ethical Data Futures course, covering six core ethical data skills and the importance of moving beyond personal perspectives in ethics.
Exploring translational data and AI ethics, including how ethical values are communicated across technology stakeholders and the role of ethnography in understanding technology creation.
End-of-semester reflections on five courses covering AI ethics, law, governance, democracy, data science, interdisciplinary thinking, and project planning.
A creative writing exercise on the process of constructing an academic argument, exploring thesis development and the role of examples in supporting a claim.
An exploration of normative ethics and its potential application to AI, questioning whether we can establish baselines of normal and outlying behavior for artificial intelligence.
A pivotal reflection on the realization that ethics alone has limited power without enforcement mechanisms, and how this reframing transformed an understanding of AI ethics.
An overview of Edinburgh’s approach to research ethics, covering guiding principles for ethical research conduct from conception through dissemination.
An introduction to the Interdisciplinary Futures course at Edinburgh Futures Institute, exploring how ethics is inherently interdisciplinary and what the course aims to develop in students.
Understanding the differences between multidisciplinary, interdisciplinary, and transdisciplinary approaches, and why interdisciplinarity is central to the Edinburgh Futures Institute.
First impressions of the diverse reading materials in the data ethics programme, including key takeaways from Shannon Vallor’s ‘An Introduction to Data Ethics.'