Narrative and Audio Design :
The Gallery Review Bot

Design Rational

This satirical video created in 2022 revolves around the use of AI-generated art reviews to highlight the potential absurdities and limitations of AI in nuanced fields like art criticism. By adopting the perspective of an AI robot introducing another art review AI, the video engages the audience with humor and exaggeration, emphasizing the importance of critical thinking in evaluating AI-generated content. The script's blend of genuine-sounding praise and nonsensical elements in the reviews serves to underscore the challenges AI faces in capturing the subtleties of human experience and judgment. This creative approach not only entertains but also provokes reflection on the role and reliability of AI in content creation, particularly in areas that traditionally rely on human expertise and sensitivity.

Target Audience

This video is made for audience older than 15 who have basic understanding and prior experience with using AI tools and want to know more information about AI usage in disinformation.

Learning Objectives

By watching this video, the audience will be able to: 

(1) Recognize the limitations and challenges of AI in capturing nuanced human judgments.

(2) Critically evaluate the authenticity and reliability of AI-generated reviews.

(3) Appreciate the importance of human expertise and sensitivity in areas like art criticism.

(4) Reflect on the impact of AI on content creation and the potential consequences of relying on AI.

Tools

Adobe Premiere Pro

Design Principles

  • Signaling Principle: Learners understand and retain information better when cues like arrows or highlights are used to signal important content.
  • Redundancy Principle: Learners can learn more effectively when redundant information, such as words and text is minimized, allowing them to focus on essential content without being overwhelmed by unnecessary duplication.
  • Modality Principle: Learners comprehend information more effectively when it is presented through a combination of visual and auditory modes rather than through a single mode.
  • Dual Coding Theory: Information is more easily learned and recalled when it is encoded through both verbal and visual channels.
  • Multimodal Learning Theory: Learning is enhanced when information is presented through multiple sensory modes, allowing learners to build a richer understanding.

Scripts

Hi guys! Look what I found! I found an authentic commentator. She obviously went to so many museums, galleries, and she does the most accurate and realistic reviews ever. Let's check out some comments.

It has been 10 weeks since I actually pay to sivit MOMA. disappointed face. Overall was a common experience, there was exciting and typical staff. Rabbit, face with stuck out tongue and squinting eyes v. at British Museum. It has been seven weeks since I actually paid to sit with M.E.T. Boot. Overall was a great experience, there was engaging and typical staff. Love Hotel, Purple Heart, C, at American Museum of Natural History. It has been an engaging experience, some piece give me the typical Baroque and some are in hard edge painting. I appreciate that Art Institute of Chicago giving me mind-blown experience. Baby Angel, New Moon with Face, Ticket.

I truly feel her sincereness from those reviews. She works in reviews really hard, she even travels for museums internationally in a day for writing those reviews. I love them. Here are four reasons that you should follow her. One, she gives fair comments, unlike other reviews, it's short, fair, and accurate. Two, she gives reviews really quick, minimum four reviews a day and no repetition. Three, her review system is such an exemplar. Four. She is a robot just like myself.

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Reference

Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149-210.

Mayer, R. E. (2005). Cognitive theory of multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 31–48). Cambridge University Press.

Jung, H., & Kim, S. (2022). The role of artificial intelligence in disinformation. Data & Policy, 4, E13. https://doi.org/10.1017/dap.2022.10