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Week 1 - Introduction

Video - Admin

This week has two previous videos associated with it, though both topics will be delivered in the same lecture this year. The first recording is an introduction to how the course is going to run, and is accessible through the "Lecture Recordings" link in Learn. 

Video - Topic Overview

The second of this week's videos gives an overview of what this course is about, along with some key terms.

Transcript: 
pi_2223_transcript1_topic_overview.docx

Q&A / Discussion Session

These sessions are on Mondays and Fridays at 13:10.

Discussion sessions will not introduce new course content that isn't already available in recordings, but rather are an opportunity to ask me questions, propose topics of conversation, or (if those others don't happen) hear me ramble about the course.

Reading

Required - Motivation

"“You Can’t Sit With Us”: Exclusionary Pedagogy in AI Ethics Education"

https://dl.acm.org/doi/pdf/10.1145/3442188.3445914

The first four sections of this paper talk about the current state of AI/CS ethics education, and theorise how this has been caused by a distancing from (or "exclusion" of) the social sciences, among other things.

The fifth section is less relevant, at least until we swing back around to talking about teaching at the end of the course.

I recommend using Hypothesis for the core readings of this course. Instructions for joining in:

  • Sign up and get the browser extension from here: https://web.hypothes.is/
  • Join the Professional Issues group here: https://hypothes.is/groups/E1MqQbBL/professional-issues
  • Activate the browser extension on the pdf to comment on and discuss the reading.

Optional - Common Objections

"Finding Virtue in the Virtual"

https://systems-souls-society.com/finding-virtue-in-the-virtual/

The first section of this article addresses the common objections to studying tech ethics that "tech is neutral" and that "technical developments are inevitable".

License
All rights reserved The University of Edinburgh

Book traversal links for Week 1 - Introduction

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    • Week 1 - Introduction
    • Week 2 - Responsibility
    • Week 3 - Power
    • Week 3.5 - Hype
    • Week 4 - Bias and Fairness
    • Week 5 - Data
    • Week 6 - Humans
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