The following resources guide is suggested for the students of the DCNM course.
1. How is AI affecting the creative media industry? [1]
This YouTube video shows how Artificial intelligence (AI) is influencing the creative sector, and artists perceive it as a danger. Prof. Laura Lie Pepe, an Associate Professor of animation at Emily Carr University, says students are anxious that their work will be replaced and commodified beyond their control. AI can produce art, such as animation, graphic design, and music. Pepe stated that there is a possibility that artists would lose their jobs as a result, as well as a lack of clarity about the distinction between a human and an AI. The Netflix anime short ‘The Dog and The Boy’ is an example of AI-generated art, with AI creating the backdrop art. Pepe criticized the usage of AI due to the lack of credit for human collaboration. Pepe also mentioned the usage of AI in text-to-image creation, which relies on data collection with a
substantial bias toward North American and Caucasian tastes for attractiveness, ethnicity, and race. It will be recommended to watch the video to get an overview of AI in the media industry.
2. Transforming the future of media with artificial intelligence [2] :
This article shows that Researchers at Nanyang Technological University (NTU) have developed artificial intelligence (AI) applications, demonstrating AI’s transformational potential in a variety of areas. Prof Erik Cambria’s SenticNet tackles the difficulty of AI perceiving human emotions in the text by combining human learning modes with traditional machine learning, resulting in a transparent and highly successful sentiment analysis model. Assoc Prof Sun Aixin’s idea allows for effective keyword-based searches in videos by treating them as text passages, which addresses the inefficiencies of existing computer vision approaches when dealing with large amounts of video footage.
Furthermore, Assistant Prof Liu Ziwei’s Seq-DeepFake algorithm is an effective weapon against the rising menace of altered photos. By recognizing digital fingerprints left by face alteration, the program not only detects doctored photographs in seconds, but it can also retrieve the original image from the changed one. This breakthrough offers great potential for combatting disinformation and assuring the accuracy of visual information in the digital era.
These breakthroughs demonstrate the broad uses of AI in sentiment analysis, video content accessibility, and combatting false visual media, showcasing NTU’s dedication to pushing the frontiers of AI technology for practical effect.
3. “Artificial Unintelligence: How Computers Misunderstand the World” by Meredith Broussard [3]
It is a critical examination of the limitations and misunderstandings of artificial intelligence (AI). Broussard contends that the hype and inflated expectations around AI lead to a mistaken perception of its possibilities. She emphasizes how AI systems frequently fail to live up to the lofty promises made by fans and challenges the erroneous notion that technology can address complex societal problems with ease. Broussard underlines the significance of recognizing AI systems’ inherent biases and flaws, shining attention on the overreliance on technology to handle complex human problems. With a mix of skepticism and intelligent analysis, the book promotes a more realistic and cautious view of AI’s role in creating the future.
While I have not read “Artificial Unintelligence: How Computers Misunderstand the World” in its entirety, I suggest it to students looking for insightful viewpoints. Meredith Broussard’s book explores the limitations and myths around artificial intelligence (AI). Broussard criticizes the inflated expectations and excitement surrounding AI, claiming that technology frequently falls short of the lofty promises offered by fans. She emphasizes the significance of acknowledging AI algorithms’ inherent biases and weaknesses and refutes the concept that technology can easily fix complicated social problems. The book combines skepticism with careful analysis, asking readers to take a more realistic and cautious attitude to the role of AI in influencing our future.
4. JournalismAI | Generating Change [4] – Youtube
According to a survey by Polis, the media think tank at the London School of Economics, which the Google News Initiative backs, the usage of artificial intelligence (AI) is growing in the journalism profession, with over 100 newsrooms in 46 countries utilizing the technology.
Respondents stated that they were employing AI to help with a variety of tasks, including content creation, process efficiency, code authoring, and content display. However, respondents were divided on the problems that technology poses. Although 80% of those polled expected the usage of AI to grow in the future, they also identified problems such as analyzing each department’s AI training needs and implementing debiasing methods.
Respondents stated that the problems vary according on a newsroom’s size, goal, and location, as well as its access to resources. The employment of AI in the industry was especially difficult for newsrooms in the Global South, where internet infrastructure was less developed and non-English language newsrooms were restricted by the linguistic capabilities of AI technologies.
References
1. CBC Vancouver – https://www.youtube.com/watch?v=-o3efcXKBLg
2. NTU Singapur – Research Hub – News – https://www.ntu.edu.sg/research/research-hub/news/detail/transforming-the-future-of-me
dia-with-artificial-intelligence
3. Meredith Broussard – https://mitpress.mit.edu/9780262537018/artificial-unintelligence/
4. PolisLSE – https://www.youtube.com/watch?v=yiOJcE7i74E&t=1s
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