Assignment task:
Purpose:
Social annotation is a way to read and take notes with your classmates in the margins of a text you are reading. Social annotation is reading and thinking together in a digital space. The purpose of this social annotation assignment will help you engage in a critical examination of implicit bias and bias in generative artificial intelligence and how these topics relate to critical thinking and writing skill development. Need Assignment Help?
What You Will Do
Prepare:
This assignment will use the Hypothesis annotation tool (If you are new to Hypothesis, check out this quick guide for students: Introduction to the Hypothesis App for Students. You can annotate with images, GIFs or videos. Check out this article which explains how to do this: Adding Links, Images, and Video.)
Pre-Read the Articles we will annotate together:
Read the article - What is Implicit Bias? by Jan De Houwer.
Read the article "When AI Gets it Wrong. Addressing AI Hallucinations & Bias" from MIT Management.
Read and Annotate
Click below on the big gray button that reads "Load Module 1 Social Annotation: Analyzing Bias and AI" to open the Hypothesis-enabled reading.
Create two annotations for each article. Consider the prompts below to form your annotations:
An important detail and how it supports the main point;
A "Wow!" point or something that surprised you and explain why;
Something that you agree or disagree with and why;
Make your annotations at specific points in the article and explain clearly why you are marking the point in the article.
You should write enough details so that your peers will be able to understand your thoughts.
Reply to Peers
Make two peer replies. In your replies, you could:
- tell your classmate what you learned if their original annotation gave you some new information;
- tell your classmate what you disagree with and explain why;
- point your classmates to a different part of the text that either supports or contrasts with the original annotation.
Note: You should have a total of six annotations (4 original annotations and 2 responses to peers' annotations).