Dangers of AI in Video Production Part II

I came across <a href="https://www.linkedin.com/feed/update/urn:li:activity:7093635281936916480?utm_source=share&utm_medium=member_ios" rel="noopener ugc nofollow" target="_blank">this post</a> on LinkedIn that described how AI was used to generate images of Barbie dolls when given countries as prompts. The results were pretty alarming. These results further highlight the flaws in AI with regards to awareness, empathy, and context. The images and videos conceived as a result of <a href="https://www.midjourney.com/home/?callbackUrl=%2Fapp%2F" rel="noopener ugc nofollow" target="_blank">Midjourney</a> are very convincing, showing the progress AI has made at conjuring high quality images and video in a short amount of time. This progress is accelerating much more rapidly than AI’s ability to understand more abstract and existential things. This makes AI particularly dangerous when it comes to something called <a href="https://ethics-of-ai.mooc.fi/chapter-6/3-discrimination-and-biases" rel="noopener ugc nofollow" target="_blank">representational harms</a>. <h1>Representational Harms</h1> Representational harms are implications related to people, and groups of people, portraying them in a negative light. These can include harms like denigration, stereotyping, misrecognition, and exnomination. Exnomination is a practice where a certain category or way of being is framed as the norm by not giving it a name, or not specifying it as a category in itself (for example, “athlete” vs “female athlete”). These harms have the ability to perpetuate preconceived notions about things like race, religion, gender and socioeconomic status. The more these harms are perpetuated, the more they might be normalized and subsequently reinforced as truth. <a href="https://matt-croak.medium.com/dangers-of-ai-in-video-production-part-ii-718a19bb8536">Click Here</a>