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.
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.Links to an external site. You can annotate with images, GIFs or videos. Check out this article which explains how to do this: Adding Links, Images, and Video.Links to an external site.)
Pre-Read the Articles we will annotate together:
Read the article What is Implicit Bias? Links to an external site. by Jan De Houwer.
Read the article “When AI Gets it Wrong. Addressing AI Hallucinations & Bias”Links to an external site. 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).
How Your Work Will Be Graded
Your annotations and peer replies will be graded as Complete (2 points), Partial Credit (1 point), or Incomplete (0 points) in terms of how it meets the above requirements. You need 4 original annotations (2 for each article) and 2 peer replies.
Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!
Step-by-Step Guide for Annotating Articles on Bias and AI
This assignment requires you to read two articles, annotate them with insightful thoughts, and then respond to your peers’ annotations. Below is a clear breakdown of how to complete the task:
Step 1: Read and Annotate the Articles
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Read the Articles Carefully:
Make sure you thoroughly read both articles before making annotations. Pay attention to key concepts such as implicit bias, AI hallucinations, and biases in artificial intelligence.
- “What is Implicit Bias?” by Jan De Houwer
- “When AI Gets it Wrong. Addressing AI Hallucinations & Bias” from MIT Management
Step 2: Create Your Annotations
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What is an Annotation?
An annotation is a note or comment added to a specific part of the article. The goal is to critically engage with the text and make connections, ask questions, or share insights.
For each article, create two original annotations. Consider the following prompts for your annotations:
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An important detail and how it supports the main point
Find a specific detail that stands out in the article and explains or supports the central theme of the article. Example: If an article discusses how bias impacts AI systems, note how certain studies or examples emphasize the consequences of such bias on decision-making processes.
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A “Wow!” point or something that surprised you and explain why
Highlight something surprising or unexpected in the article and explain why it caught your attention.
Example: If an article explains a surprising statistic about the rate of bias in AI systems, this could be a “Wow!” moment for you.
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Something you agree or disagree with and why
Reflect on a point made in the article that you either agree or disagree with. Justify why you feel that way.
Example: If the article claims AI can be “completely unbiased,” and you disagree, you could challenge this by pointing out the role of human decisions in training AI systems.
Tip: Make sure to attach your annotations at specific points in the article where the text directly supports your thoughts.
Step 3: Reply to Peer Annotations
Step 4: Make Sure to Follow Instructions
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Total of Six Annotations:
You must create a total of six annotations: four original annotations (two for each article) and two peer replies.
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Length and Clarity:
Your annotations should be clear and detailed enough for your peers to understand your thoughts. Aim for concise yet thoughtful responses, focusing on quality over quantity.
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Use Hypothesis Annotations Tool:
If the module uses a tool called Hypothesis for annotation, make sure you’re familiar with it and make your annotations directly in the text using that tool.
Step 5: Submit Your Work
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Review Your Annotations:
Before submitting, double-check that you’ve made the required number of annotations and replies. Ensure that your annotations are insightful and that you’ve engaged with the text critically.
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Proofread:
Ensure your comments are clear, grammatically correct, and effectively communicate your ideas.
Step 6: Review the Grading Rubric
- Understand Grading Criteria:
The grading rubric will outline what’s expected in terms of the quality and number of annotations and replies. Review it to ensure you’re meeting the expectations.
By following this guide, you’ll be able to create detailed, insightful annotations and meaningful responses to your peers’ annotations. This will not only help you understand the topic better but also contribute to a collaborative learning environment.
Happy annotating!
