Design Anthropological Filmmaking for Automated Futures

Pink, Sarah

doi:10.1177/10778004221097060

Cited by 3 publications

(1 citation statement)

References 57 publications

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“…Looking ahead, the integration of AI with filmmaking education remains a dynamic area for further exploration. The future of filmmaking will increasingly involve interdisciplinary collaboration and innovation [72]. AI not only has applications in filmmaking itself but can also drive the integration of filmmaking into other fields.…”

Section: Discussionmentioning

confidence: 99%

Using an Artificial-Intelligence-Generated Program for Positive Efficiency in Filmmaking Education: Insights from Experts and Students

Yang,

Lee,

et al. 2023

Electronics

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In recent years, despite the widespread success of artificial intelligence (AI) across various domains, its full potential in the field of education, particularly in filmmaking education, remains largely untapped. The purpose of this study is to explore the application of AI-generated programs in filmmaking education to address existing shortcomings in curriculum design. We employed a comprehensive approach, starting with an extensive review of existing filmmaking courses and AI-recommended courses. Subsequently, two rounds of in-depth interviews were conducted, involving both experts and students, to gain profound insights. We utilized user journey maps to visualize the participants’ experiences and feedback, complemented by a mixed-methods analysis approach for a comprehensive data assessment. The study revealed that both the experts and the students derived positive benefits from AI-recommended courses. This research not only provides a fresh perspective on the practical applications of AI in filmmaking education but also offers insights for innovation in the field of education. Theoretically, this study establishes a new foundation for the application of AI in education. In practice, it opens up new possibilities for filmmaking education and promotes the development of cutting-edge teaching methods. Despite limitations in sample size and geographical scope, this study underscores the immense potential of AI in filmmaking education. It provides directions for future research to deepen our understanding of AI’s impact on education.

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Section: Discussionmentioning

confidence: 99%

Using an Artificial-Intelligence-Generated Program for Positive Efficiency in Filmmaking Education: Insights from Experts and Students

Yang,

Lee,

et al. 2023

Electronics

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Troubleshooting as a method in COVID-19 times: smart home ethnographies and remote aged care innovation

et al. 2022

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Not burning, but rebuilding: The ABCS of anthropology using multimodal methodologies and DEAF values

Fagan Robinson

2024

Multimodality & Society

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In 2019, Ryan Cecil Jobson made the case for ‘letting anthropology burn’, arguing that: “the field of anthropology cannot presume a coherent human subject as its point of departure but must adopt a radical humanism as its political horizon” (2019:328). In this article, Robinson upholds Jobson’s mandate to adopt a radical humanism, though not by burning, but methodologically rebuilding anthropology using multimodal ethnographic praxis, drawing on learnings from time spent working and learning from DEAF spaces. She charts her intellectual and affective journey from working with deaf artists and educators, through studies in anthropology, and towards transformative encounters with multimodal social semiotics. Through learning to listen and evaluate in DEAF ways, she found that non-deaf, majority-centred ways of conducting research naturally receded, thereby re-scaffolding ethnographic methods, proffering a ready-made approach to inclusive anthropological knowledge-making and a potential means for democratising anthropology from the ground up. Robinson argues that approaching ethnographic praxis in a way that both de-prioritises English-text and prioritises participant-led approaches by default reshapes what constitutes valuable anthropological knowledge, facilitating broader participant inclusion and legibility, while also rendering more apparent entrenched power hierarchies and epistemic imbalances.

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Design Anthropological Filmmaking for Automated Futures

Cited by 3 publications

References 57 publications

Using an Artificial-Intelligence-Generated Program for Positive Efficiency in Filmmaking Education: Insights from Experts and Students

Using an Artificial-Intelligence-Generated Program for Positive Efficiency in Filmmaking Education: Insights from Experts and Students

Troubleshooting as a method in COVID-19 times: smart home ethnographies and remote aged care innovation

Not burning, but rebuilding: The ABCS of anthropology using multimodal methodologies and DEAF values

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