Analyzing Diversity in the Media with AI
MC 1143 Media in a Diverse Society – Spring 2024 Wri�ng Assignment 1 (100 Points) Due Tuesday, March 12 at 11:59 pm (via Canvas) Analyzing Diversity in the Media with AI Background: A genera�ve AI engine is a type of advanced computer program that can create content, like text, images, or music, by itself a�er learning from large amounts of exis�ng informa�on. It is like teaching a computer to be crea�ve based on paterns it has seen in the data it studied. These AI engines have become more popular and powerful in recent years, thanks to improvements in technology and the availability of vast amounts of data to learn from. The rise of genera�ve AI tools has had a big impact in many areas. For example, they help writers and ar�sts come up with new ideas, assist businesses in genera�ng marke�ng content, and even help researchers in science and medicine. These tools are important because they can save �me, inspire crea�vity, and solve problems in innova�ve ways. However, they also raise ques�ons about originality, privacy, and the future of human work, making it a fascina�ng and important area to explore and understand. This assignment will introduce you to the world of genera�ve AI, with a focus on diversity. Steps 1. Select an Associated Press ar�cle from the Diversity, Equity, and Inclusion news sec�on: htps://apnews.com/hub/diversity-equity-and-inclusion 2. Develop five ques�ons to ask at a genera�ve AI engine (such as ChatGPT, Google Bard, or Bing’s Copilot) about the story. These ques�ons could include inquiries about the accuracy of representa�on, historical context, similar media pieces, etc. 3. Write a reflec�on paper comprised of the following: a. Brief introduc�on that includes the ar�cle you selected and how it represents diversity. b. Detail the name of the AI engine you selected, your experience with GPTs, and your thoughts on using such tools. c. Describe the process of asking the engine ques�ons, summarize what you learned, and detail how your understanding of the media ar�cle may have changed. d. Discuss how well the AI engine answered your ques�ons, what did it get right (or wrong)? How do you know? e. Provide a brief conclusion about the experience. What to Turn In 1. The �tle and URL of the AP ar�cle 2. The name of the GPT engine selected, and your five ques�ons 3. Reflec�on paper as described in Step 3 (two pages, double spaced) Grading Rubric Writing Assignment 1 (100 Points) Excellent Clearly identifies and introduces a relevant AP article, effectively highlighting how it represents diversity. (9-10 points) Good Introduces an appropriate AP article, with a basic explanation of its relevance to diversity. (7-8 points) Satisfactory Selects an AP article and provides an introduction, but with limited relevance to diversity. (5-6 points) Needs Improvement Inadequate or missing introduction, or the article selected is not relevant to diversity. (0-4 points) AI Engine Selection / Questions (20 points) Thoughtfully selects an AI engine and formulates five relevant, insightful questions that deepen understanding of the article. (18-20 points) Chooses an AI engine and poses five appropriate questions, though they may lack some depth. (1417 points) Selects an AI engine and asks questions, but they are somewhat basic or not fully relevant. (10-13 points) Experiences difficulty in selecting or asking relevant questions to an AI engine. (0-9 points) /20 Learning from AI Engine (30 points) Provides a detailed, insightful reflection on what was learned from the AI engine, demonstrating a changed or deepened understanding of the article. (27-30 points) Reflects on learning from the AI engine with some insight, showing some change in understanding. (21-26 points) Offers basic reflections but lacks depth or significant change in understanding. (15-20 points) Limited or no reflection on learning from the AI engine. (0-14 points) /30 Evaluation of AI Engine Responses (25 points) Provides a thorough, critical evaluation of the AI engine’s responses, clearly explaining what was right or wrong. (2325 points) Evaluates the AI engine’s responses with some critical thought but may lack depth in analysis. (1822 points) Attempts to evaluate responses, but the analysis is basic or lacks clarity. (13-17 points) Fails to effectively evaluate the AI engine’s responses. (0-12 points) /25 Conclusions (15 points) Concludes with a strong, insightful reflection on the overall experience and its implications. (14-15 points) Provides a clear conclusion, summarizing the experience with some reflection. (11-13 points) Includes a basic conclusion, but it may lack insight or depth. (8-10 points) Conclusion is weak, offtopic, or missing. (0-7 points) /15 Article Selection / Introduction (10 points) Notes: Totals /10
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