Please answer these 2 questions. You have to meet the word count for each question. Please keep in mind that all assignments done by Chat GBT or any other AI software will automatically be graded as 0 points.
Question 1 (250 words min):
Imagine you are designing a social media platform. Describe two strategies you would implement to promote algorithmic fairness and user awareness of potential bias.
Question 2 (250 words min):
Algorithmic Life: Friend or Foe?
Lately, I’ve been thinking a lot about algorithms and how they’re woven into the fabric of our digital lives. They’re everywhere – from suggesting what to watch next on streaming services to shaping what news articles appear in our feeds.
While algorithms can be super convenient, there’s also a growing concern about something called filter bubbles and echo chambers. These fancy terms basically mean that algorithms can trap us in an information loop, only showing us content that confirms what we already believe. This can limit our exposure to new ideas and different perspectives.
Even scarier is the potential for algorithmic bias. Imagine an algorithm used for loan approvals that unknowingly discriminates against certain groups based on the data it was trained on. Yikes!
So, the question is: Are algorithms more friend or foe?
Here are some discussion prompts to get us started:
Have you noticed any examples of filter bubbles or echo chambers in your own online experiences?
What are some concerns you have about algorithmic bias?
How can we become more critical consumers of information in the age of algorithms?
What are your thoughts on the importance of ethical considerations when developing algorithms?
I’m curious to hear your thoughts! Share your experiences and insights below.
P.S. This lesson also covered some practical strategies for increasing awareness of algorithmic bias and reducing its influence in our lives. Check out the lesson materials if you’re interested in learning more!
Category: Ethics in Computer Science
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Title: “Navigating Algorithmic Fairness and Bias in the Digital Age”
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“Algorithmic Audit & Awareness: Examining Bias in Everyday Algorithms”
Algorithmic Audit & Awareness Campaign
Objective: This project combines critical analysis with creative awareness-raising. Students will work in groups to:
Choose an Algorithm: Select a specific algorithm used in everyday life (e.g., social media news feed algorithm, search engine ranking algorithm, recommendation algorithm on a streaming service).
Conduct an Algorithmic Audit: Research how the chosen algorithm works and identify potential areas of bias. Consider factors like data collection, training data, and potential outputs.
Develop an Awareness Campaign: Create a short presentation or digital campaign (e.g., infographic, social media post) that raises awareness about the chosen algorithm and its potential for bias. The campaign should target your peers and educate them on how to be critical consumers of information shaped by algorithms.
Deliverables:
A short presentation (5-7 minutes) outlining the chosen algorithm, its potential for bias, and the awareness campaign.
A creative digital artifact (infographic, social media post, short video) that effectively communicates the concept of algorithmic bias to a youth audience.