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Students will create an annotated “mediography” that maps the cultural, ethical, and technical narratives surrounding AI as represented in global media. This includes movies, documentaries, series, or short films. Each entry should include a brief analysis of the work, noting its relevance to AI, the concepts or themes it addresses, and its cultural or ethical implications.
Requirements
Number of Entries:
At least 7 media items from diverse genres, formats, and (for international students) languages.
Annotated Details (per entry):
Title and Format: Specify the title, year of release, and format (e.g., movie, documentary, series).
Summary: Provide a 2–3 sentence summary of the plot or content.
AI Connection: Explain the AI-related themes or concepts depicted (e.g., machine learning, ethics, sentience).
Analysis: Evaluate the media’s accuracy, cultural relevance, and the societal questions it raises about AI.
Overall Reflection:
Write a 200–300 word reflection on the overall trends or themes found across your selected media.
Submission Format:
A well-structured document (PDF).
Include visuals like movie posters or screenshots (optional).
Examples of Media to Explore
Movies: Ex Machina (2014), Her (2013), A.I. Artificial Intelligence (2001).
Documentaries: Coded Bias (2020), AlphaGo (2017), Lo and Behold (2016).
Grading Criteria
Relevancy of Selection (20%)
Range of genres, formats, and cultural perspectives.
Quality of Annotations (40%)
Depth of analysis and connection to AI concepts.
Reflection (20%)
Insights into recurring themes or societal attitudes toward AI.
Presentation (20%)
Clear, professional formatting and inclusion of all required details.
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