Lights, Camera, AI Action: Navigating the Disruptive Potential of

Artificial Intelligence in Filmmaking

M. Izani

, M. Fauzan

, A. Razak

and Z. Kamarolzaman

Department of Applied Media, Higher Colleges of Technology, Abu Dhabi, U.A.E.

izainal@hct.ac.ae, auzan.mustaffa@mmu.edu.my, aishah.razak2020@gmail.com, zaini.kamarolzaman@mmu.edu.my

Keywords: Artificial Intelligence, Filmmaking, Creativity, Ethical Implications, Disruptive Potential.

Abstract: With the advancement of artificial intelligence, which is coming quickly, film making has been overhauled

in two ways. This research investigates how AI affects filmmaking s diverse areas and tries to answer

questions such as the following: will it lead to making us more creative or will its effect be on creativity itself;

its economic ramifications; what moral considerations should we keep in mind? The objective is for us at last

show what creative tools AI can provide filmmakers (as well) as investigating whether such a tool is already

being used now in different stages of film production. Examples of actual work situations-for instance

animation and special effects-reveal that AI choices are not always as clear-cut as people might think. This

analysis suggests that while AI presents significant benefits in terms of efficiency, creativity enhancements

and democratization, concerns remain over employment, creativity reduction, data privacy and bias in terms

of ethics of AI-generated content ownership. This research offers valuable perspectives and advice for

filmmakers, educators, and industry leaders on the integration of AI into movies and other forms of media,

from critique to implementation.

1 INTRODUCTION

Filmmaking has been known for its distinction as a

medium of infinite development, and we are now on

the verge of entering an era where Artificial

Intelligence (AI) will reign over this field. Anything

truly capable of processing so much information to

recognize patterns and original work represents a

clear hope or fear, depending on the stage in film

production (script writing, storyboarding, visual

effects, animation). Despite the whirpool of concepts

accomplished by AI, there are still certain risks and

challenges that could jeopardize how humans

perceive filmmaking as a field. Efficient AI and

Filmmaking AI applications will lead to the

automation of color grading, sound mastering and

basic editing - all tasks that distract from filmmaking

as a creative process. AI can also jump in during pre-

production by offering intelligent suggestions and

ideas about scriptwriting or storyboarding. AI

algorithms could, for example, study the narrative

structures and character archetypes of successful

films to help an aspiring writer create a more gripping

plot. Secondly, AI can democratize filmmaking by

enabling anyone to do high end visual effects and

animation that normally would have only been

possible with large budgets or highly specialized

technical skills from artists using systems made

available for individual use. It provides a new

window for unique and individual stories to be seen

by larger audiences voice in the arena.

As wonderful as that sounds, the incorporation of

AI into filmmaking presents just a many hurdles and

challenges. At the top of these is a decreased need for

jobs - new AI capabilities can now complete tasks that

human specialists had been needed to do before,

which has made people worry about being replaced

by machines. Many people are worried that creativity

would be negatively impacted because AI constantly

have to go by the razor thin margins of historical data

and is not work for creating new. In addition, the

ethical questions around AI storytelling. A collection

of tools and methods-developed to clean raw social-

science data, the insights from which are then used as

input into AI algorithms trained on vast expanse

datasets that might even encode long-sequestered

biases in ways that later feed back through an endless

cycle of tail wags dog. Significant ethical issues in AI

are because of ownership and control of content made

by computer, malicious practical examples like

Izani, M., Fauzan, M., Razak, A. and Kamarolzaman, Z.

Lights, Camera, AI Action: Navigating the Disruptive Potential of Artiﬁcial Intelligence in Filmmaking.

DOI: 10.5220/0013326700004557

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 4th International Conference on Creative Multimedia (ICCM 2024), pages 14-22

ISBN: 978-989-758-733-7; ISSN: 3051-6412

malevolent use (pornography, modification),

manipulation of opinion.

This paper intends to present an overview of a

wide range of advantages and disadvantages that AI

can bring in the process(es) involved in filmmaking.

The spate of films addresses the consequences on

creativity, economic structure of the industry and

implications for filmmakers, educators and other

stakeholders in this area. This research study

contributes to a framework for such an extensible

tool, enabling film-practitioners and scholars to use

AI in their work with understanding and intention:

leveraging the creative potential of AI while avoiding

its risks. This research will adopt the balance

scorecard framework and for data collection, only

literature reviews and qualitative content analysis will

be used. The qualitative content analysis is expected

to come from transcripts of YouTube videos

capturing filmmaker, actor and technology expert

perspective into the affordances and constraints

presented by several AI-assisted tools throughout

various phases in film production. This review of

literature will address research and publications on AI

in film production, providing an overview of what is

happening now with the industry as well as where

things may be headed.

2 LITERATURE REVIEW

Progress in the integration of Artificial Intelligence

(AI) in filmmaking is transforming the industry itself

from conceptualisation to post-production (Dwivedi,

2024, Hales, 2024). This research aims to offer an in-

depth investigation of the present studies and

industrial opinions for a complete understanding of

AI's influence upon filmmaking. We will investigate

AI's role as a disruptive and creative recluse, and

survey traditional craft and artistic methods under its

sway. Most attention is devoted to how AI has been

applied in scriptwriting, automatic editing, and

advanced visual effects. This survey will therefore

show how AI is extremely intrusive into the film

industry, changing everything in ways that are

profound not only for those who produce movies but

also those who distribute them and even those

talented actors you see on screen. By examining these

aspects, this research will depict how AI is

transforming all the aspects of film production. It will

take note of how beneficial or harmful this

transformation might prove to be.

2.1 AI Applications in Filmmaking

In film production, AI's application is varied and full

of imagination:

Scriptwriting and Storyboarding AI's ability to

chew through countless successful films, learning

from them along the way, has begun to be exploited

in recognizing and codifying key narrative structures

and plot devices. With the help of sophisticated

algorithms, AI programs such as ScriptBook or Jarvis

can provide feedback on scripts, predict how an

audience will receive your story and even strengths

its structure. So the process of writing scripts changes

as well (Chow, 2020, Zhou, 2023, Eldhose et al.,

2021),(Anderson, 2023).

Visual Effects and Animation AI's effects in the

sphere of VFX is simply amazing. The introduction

of AI into effects technical processes a little like

automating high-cost touch, sample-based

manipulation changes this situation to some degree

and makes it possible for complex VFX to be done

fast and economically. New AI tools like Fakeapp and

MetaHuman Creator employ artificial intelligence to

create life-like human faces or even entire fantastical

creations thus extending the realm of visual

storytelling into places beyond our wildest dreams

(Perov et al., 2020, Fang et al., 2021).

Post-Production AI brings post-production

efficiency and precision. Algorithms that are able to

recognize footage can automatically adjust color

grading, sound balancing, and editing. The likes of

Adobe Sensei and DaVinci Resolve's Neural Engine

are at the forefront in AI progress of post-production

techniques, further refining the art of cinematic

storytelling (Kim, 2021, Ruczak, 2021). Table 1

compares all these tools, with the applications shown

in Figure 1.

2.2 Benefits of AI in Filmmaking

The integration of AI into the filmmaking process

brings a number of advantages.

Improved Efficiency and Workflow. Automating

routine tasks, artificial intelligence frees filmmakers

to get on with creative work. This sort of "passive

income" replaced by automation yields faster

production schedules with lower nuts-and-bolts costs,

greatly allaying any overall burden on one's time

(Yang et al., 2023).

Creative Expansion. No longer is AI solely for

efficiency, but also a partner in creativity. Artificial

intelligence

generated graphics and animations

Lights, Camera, AI Action: Navigating the Disruptive Potential of Artiﬁcial Intelligence in Filmmaking

Table 1: Comparison of AI Tools for Filmmaking.

Category Tool Features Pricing Strengths Weaknesses

Scriptwriting

ScriptBook

AI-driven script

analysis and prediction

of box office success

Subscription-

based

Accurate

predictions,

valuable for funding

decisions

Limited to script

analysis, may not

capture creative

nuances

Jarvis

AI-powered writing

assistant and feedback

tool

Subscription-

based

Enhances

scriptwriting

efficiency, offers

creative suggestions

May produce

generic results,

depends on user

input quality

VFX and

Animation

DeepFaceLab

AI for creating

deepfakes and facial

manipulation

Free

Highly realistic

output, widely used

in the industry

Ethical concerns

with deepfakes,

steep learning curve

MetaHuman

Creator (by

Unreal

Engine)

AI tool for creating

photorealistic digital

humans

Free

Extremely realistic

characters,

integration with

Unreal Engine

Requires powerful

hardware, mainly for

human characters

Post-

Production

Adobe Sensei

AI and machine

learning integrated

within Adobe Suite

Part of Adobe

Creative Cloud

subscription

Broad range of

features, integrated

with popular Adobe

tools

Subscription cost,

learning curve for

advanced features

DaVinci

Resolve's

Neural Engine

AI features for color

correction, face

recognition, and more

Free version

available,

Studio version

paid

Advanced color

grading and facial

recognition features

Studio version is

paid, complex for

beginners

Figure 1: Applications of AI in film making.

ICCM 2024 - The International Conference on Creative Multimedia

function as a source of inspiration, continuously

pushing the envelope for creators in both direction

sits scope and shape (Zhou, 2024, Sun, 2024).

Democratization of Filmmaking. AI levels the

playing field of filmmaking. Both entry-cost and

technical skill barriers are lowered by it, so that a

wider range of voices and visions can take part in this

field (Sun, 2024). Such democracy makes the silver

screen a richer place.

2.3 Concerns Surrounding AI

While AI promises a new dawn for filmmaking, it

comes with its own set of challenges. The specter of

automation raises concern about job security in the

film industry. The evolution of AI may lead to some

people being kicked out of their established roles and

replaced by machines. Debate also surrounds AI's

impact on film expression: it is not hard for AI,

picking from patterns in data, to produce a world of

movies lacking in originality (Tiwari, 2023). Not only

that, but it increases disincentives.

Also, the potential of AI to shape an artistic genre

that is formulaic has become something to be argued

over. Moreover, the use of AI in filmmaking is

fraught with ethical dimension. Begin to worry about

data privacy, not to mention who owns the intellectual

property rights related to AI-generated content.

Debates related to all this are ready to burst open in

the industry. Can I take advantage of AI in a way

which is responsible ethically, as well as creative

(Lee, 2022).

The symbiosis of AI and filmmaking portends a

period of massive change for the industry. While it

makes production faster and more efficient, opens up

entirely new possibilites of creativity and spreads use

out across different segments within media industries

themselves, one must also treat AI with care bringing

it (sometimes harshly) down-back to reality. Above

anything else It Is Vital that while there are

opportunities to innovate creatively or professionally-

-both important aspects within any business or

artform's operation today--the potential pitfalls which

such advances may bring along lie just as heavily on

our minds. With preconceptions newly tailored about

how one shapes a scene however it applies

everywhere and anywhere; from advances in

production to how your 'camera' is aimed for shooting

final resolutions are unknown right now

The film industry must find its way, as it enters

this strange new world. It is imperative that

filmmakers coming into AI technology equip

themselves with the knowledge to employ it in a

conscientious and informed manner. Separating the

chaff from grain will be vital. Only by establishing

practices 'good', responsible and knowing when to

draw on AI 's capabilities--and when not to can we

maintain professionalism of our content and integrity

as a film industry.

3 METHODOLOGY

In this study, we use a qualitative approach to discuss

how artificial intelligence (AI) affects and changes

filming realities. Our main data source is transcripts

of YouTube-video recordings with viewpoints from a

range of period industry stakeholders such as

filmmakers, actors and technicians. These transcripts

give insights into where AI is being deployed in the

film-making process and what the resultant

advantages and problems are as well as its ethical

implications for professionals engaged in this field. In

conducting this research, several rigid criteria were

adopted for selection and analysis of AI in

filmmaking content from YouTube. Firstly, the

regularity of published materials must be considered.

We always paid attention to channels which

maintained an orderly upload schedule for if a

channel has been at it this long and is still enthusiastic

about their subject matter then their output is worth

listening too. Secondly, discussion depth and

audience enthusiasm got priority. We selected videos

which inspired stimulating interchanges of comment

in the comments section, simply because Quality

comments are a reflection of the level to which people

Really think about and discuss the material given that

each video gets only one response. Lastly, content

fairness and objectivity were measured. We

proceeded with caution towards certain videos that

showed a pronounced partiality or pushed a particular

product or service at the cost of fairness of general

coverage on AI in filmmaking. That the material was

both fair and objective was vital for an exhaustive

study which remains worthy of trust.

Data Collection

Selection Criteria. High profile interviews of full-

time working professionals in the field from YouTube

videos were taken as sample for this study. Videos

were selected due to the influence of the filmmaker,

variety of perspectives related to AI and its

applicability in different parts of film production

(such as scriptwriting, editing or special effects).

More specifically, the group wanted to target

generative AI in filmmaking so there was a clear

Lights, Camera, AI Action: Navigating the Disruptive Potential of Artiﬁcial Intelligence in Filmmaking

focus on what the technology could do and how it

would have an effect.

Possible Limitations. YouTube videos do offer a

diverse range of voices, but there may be issues with

many content creators having controversial

backgrounds or representing specific parts of the

industry. In an effort to mitigate this bias, we cross-

verified with videos from other sources; seeking input

of varied viewpoints. This rating was based on the

content of YouTube.

Data Saturation. Data saturation was deemed

attained when no new themes were emerging from the

transcript of additional videos. This was done to make

sure the data collection is exhaustive.

Data Analysis

Transcript Review. All of the transcripts were

reviewed to identify and extract relevant text

segments concerning matters that related back to our

research objectives. We then read and re-read the

transcripts as a whole to derive broad themes,

concepts or arguments about which stakeholders

diverged.

Data Extraction. Textual segments extracted from

the transcripts were then arranged into a thematic

framework. The framework was inductively

determined from the data through thematic content

analysis as opposed to being derived a priori.

Analysis and Interpretation. Thematic analysis

techniques were used to analyse the extracted data.

This included identifying themes and concepts that

resulted from the data is process in which a look at

patterns, relationships or connections within those

titles. The results were then positioned within existing

literature and industry standards to give a better

understanding of the effects that AI has on film

production.

4 FINDINGS AND DISCUSSION

Following the methodology outlined in Section 3, the

transcripts were reviewed, relevant data were

extracted, and thematic analysis was conducted to

identify key themes and patterns related to the impact

and implications of AI in filmmaking. The findings

are presented and discussed below, organized by the

research objectives.

4.1 Impact of AI on Filmmaking

Enhanced Efficiency and Streamlined Workflow.

The transcripts underscore AI's ability to make film

production more efficient and bring about enormous

savings. AI programmes handle tasks such as colour

grading, sound mastering and basic editing, leaving

filmmakers more scope for creativity. AI is also

involved in such pre-production tasks as scriptwriting

and storyboarding. It can suggest themes and

inspiration. For example, an AI system was used by

one American filmmaker to create storyboards that

better visualize shots and communicate with crew

members (Momot, 2022).

Creative Augmentation. The transcripts also

showed that AI tools help enhance creativity and

break through traditional visual storytelling

boundaries. Imagery or animation generated by AI

can stimulate new ideas or open up unique kinds of

visual effect that were hard or impossible to achieve

with old-fashioned methods. For example, one

speaker reported using AI to build a "second self"

with a synthetic voice. She expanded her sonic

lexicon and artistic potential accordingly (Nassar,

2024).

Democratization of Filmmaking. The stakeholders

pointed out that AI tools can make film-making more

accessible to individuals and smaller studios by

lowering the entrance costs, both in terms of money

and expertise. This democratization enables a richer

diversity of voices and broader perspectives to be

heard in the film world (Klaysung, 2024). One

filmmaker stressed that today's independent creators

are now able to realize their visions without being

either prisoners of large studios or restrained by

budgets.

Ethical and Professional Implications of AI. Job

displacement: Although Al has many advantages, the

transcripts also showed concerns that it could displace

work of human creators in the film business. As Al

programs become more sophisticated, they may take

over tasks once done by humans. There is a fear that

filmmakers and other creative people will be replaced

by machines. One actor voiced concerns; Al systems

are " designed to wipe out a workforce " and he was

particularly worried about voiceover artists who

could be so easily copied by Al.

Creativity Reduction. Some of the stakeholders

expressed concern that Al, based on existing data and

patterns, might produce formulaic or imitative

ICCM 2024 - The International Conference on Creative Multimedia

movies, stifling human creativity. One filmmaker

cautioned against reliance too much on Al, noting the

importance in storytelling of human judgment and

originality.

Ethical Issues. With regard to AI production, some

of the moral problems uncovered in transcripts were

as follows:

Data Privacy. AI programs have been ‘taught’ to

identify patterns in big datasets, thus there is the issue

of how large quantities of personal information

should rightly be collected, utilized and possibly

misused. One party stressed that clear and active

consent is essential, and that all artists need to know

exactly what their data is being used for by AI

systems.

Algorithmic Bias. AI algorithms can inherit biases

from the data they are trained on, potentially leading

to discrimination and harmful stereotypes being

perpetuated through AI-generated films. Tools must

be developed and used in a manner that guarantees

diversity and inclusiveness.

Ownership and Control. Questions of authority and

rights concerning AI-generated material are raised. It

should be written into law and ethics that creators will

receive a fair return for their troubles, that no use of

AI has been made which seeks out or manipulates

consumers. All the points discussed are summarized

in table 2.

Table 2: Ethical consideration.

Ethical

Consideration

Potential Risks Mitigation Strategies

Data Privacy

Unauthorised use of

personal data in AI

algorithms

Implementing robust

data protection policies

and gaining explicit

consent

Algorithmic

Bias

Propagation of

stereotypes and

biased decision-

making

Regular auditing for

bias, diversifying data

sets, and inclusive

algorithm development

Ownership of

AI-Generated

Content

Unclear intellectual

property rights over

AI-created materials

Establishing clear legal

frameworks and

agreements regarding

AI-generated content

Job

Displacement

Replacement of

human jobs with AI

tools

Investing in workforce

re-skilling and up-

skilling, emphasizing

AI as a tool to augment

human creativity

Interpretation and Implications. The findings of

this research suggest that AI is a powerful tool that

can significantly impact filmmaking, offering both

opportunities and challenges. While AI can enhance

efficiency, augment creativity, and democratize the

filmmaking process, it is crucial to address concerns

about job displacement, creativity reduction, and

ethical implications.

To ensure a sustainable and ethical future for

filmmaking in the age of AI, the following

recommendations are proposed:

Collaboration and Upskilling. Filmmakers and

other creatives should embrace AI as a collaborative

tool rather than a replacement. They should focus on

developing skills that complement AI capabilities,

such as storytelling, critical thinking, and ethical

decision-making.

Responsible AI Development and Use. AI

developers and policymakers should prioritize ethical

considerations in the design and deployment of AI

tools for filmmaking. This includes ensuring data

privacy, mitigating bias, and establishing clear

guidelines for ownership and control of AI-generated

content.

Education and Training. Educational institutions

should adapt their curricula to prepare future film

professionals for an AI-powered industry. This

includes teaching students about AI tools and

technologies, as well as the ethical and professional

implications of AI in filmmaking. By fostering

collaboration, promoting responsible AI practices,

and investing in education and training, the film

industry can harness the power of AI to create

innovative and impactful stories while ensuring a

sustainable and ethical future for film professionals.

Limitations and Future Research. This research is

limited by the specific YouTube transcripts selected

for analysis. Future research could expand the data

sources to include interviews with a wider range of

film professionals and case studies of AI-driven film

projects. Additionally, further research is needed to

explore the long-term impact of AI on the film

industry and to develop best practices for ethical and

responsible AI integration.

Figure 2 presents a concise overview of the ethical

and professional implications of AI in filmmaking,

highlighting key issues like bias, job displacement,

and regulatory considerations.

Lights, Camera, AI Action: Navigating the Disruptive Potential of Artiﬁcial Intelligence in Filmmaking

Figure 2: Ethicals and professional implications of AI in film making.

5 CONCLUSIONS AND FUTURE

REMOMMENDATIONS

This paper discusses the changing aspect of Artificial

Intelligence (AI) in filmmaking. Qualitative content

analysis of industry perspectives and a review of

available literature by researchers. They framed it

around three challenge areas - AI and the future in

creative processes (acceleration or constraint),

economic implications as well as its ethical,

professional forms of usage. What the findings are

telling us is that AI has clear implications for film: it

will revolutionize how movies are made and manifest

new creative opportunities as well as challenges to be

negotiated by filmmakers.

5.1 Key Findings

From scriptwriting and storyboarding, to visual

effects or animation through post-production AI tools

are employed in many areas of film production. These

tools can increase efficiencies, facilitate workflows

and stimulate creativity (Channa et al., 2024, Patil et

al., 2023, Singh et al., 2023). AI and film have been

locked in a perfect marriage, AI has the power to

democratize filmmaking allowing everyone of all

walks both individuals and smaller studios play on an

equal level hence diversity. However, potential job

displacement (Nassar, 2024), aforementioned

concerns about decreased creativity and ethical issues

concerning data privacy, algorithmic bias and

ownership of AI-generated content (Yang et al.,

2023) remain.

AI tools are being utilized in various stages of film

production, from scriptwriting and storyboarding to

visual effects, animation, and post-production. These

tools can enhance efficiency, streamline workflows,

and augment creativity (Channa et al., 2024, Singh et

al., 2023). AI has the potential to democratize

filmmaking by making it more accessible to

individuals and smaller studios, fostering diversity

and inclusivity in the industry. Concerns remain

regarding potential job displacement (Nassar, 2024),

creativity reduction, and ethical issues related to data

privacy, algorithmic bias, and ownership of AI-

generated content (Yang et al., 2023).

5.2 Recommendations

To ensure a sustainable and ethical future for

filmmaking in the age of AI, the following

recommendations are proposed:

5.2.1 For Filmmakers and Creators

Embrace AI as a Collaboration Tool. Think of AI

as something that will help you realize your creative

vision faster and more efficiently — which is to say

the machine can make things work better maybe even

stimulate new ideas for oneself. But even with this

bonus for creativity, don't just turn all operations into

mindless automated routines without human

involvement developing an intelligent style of use

ICCM 2024 - The International Conference on Creative Multimedia

that takes full account actual intelligence. Training of

rookie users is then indispensable if system-level

efficiency isn't to suffer in the long run either because

complex problems remain unresolved or because

large numbers of skilled clerical workers are needed

Spend Time Developing Complementary Skills.

Concentrate your energies on those abilities that

machines can't replicate, such as storytelling, critical

thinking, emotional intelligence, and making ethical

decisions.

Stay Informed on AI Developments. Keep abreast

of the latest in AI tech and how it's being used for

filmmaking so that you're not left behind and obtain

maximum effective leverage from AI's potential.

Use AI Technology in an Ethical and Responsible

Manner. Keep in mind the ethical issues associated

with AI, including data privacy, subjectivity and who

owns art that was created by a machine. Like anything

else you must be morally right when using this

technology. It should also help you make use of good

conscience to promote a varied and harmonious

society.

5.2.2 For Educational Institutions

Adapt Curricula to Include AI. Embedding AI

smart tools and technologies in film education

programs can assist future professionals in the field

with ensuring that they are prepared for a prospective

industry.

Ethical and Professional Impacts. Impart ethical

and workforce challenges related to AI in filmmaking

by the responsibility of educating students with

problem solving skills needed for responsible use of

tools.

Foster Interdisciplinary Collaboration. Drive

collaboration between film students and other

departments (e.g. computer science, data science) for

an integrated approach to AI in filmmaking.

5.2.3 For Industry Leaders and

Policymakers

Develop Ethical Frameworks and Regulations.

The development and use of AI in filmmaking should

follow the guidelines and rules relating to the ethical

treatment of these intelligent systems. This includes

such issues as data privacy, bias and ownership rights

for AI-driven content. To that end, we need specific

guidelines and regulations which spell out in detail

what these morally correct methods are.

Support R&D. It is necessary to invest in research

and development of AI tools and technology designed

for the film industry. We must aim for both ethical,

innovative achievements that are examples to this

niche area as well as a new ethical framework for its

development.

Facilitate Collaboration and Knowledge Sharing.

Facilitate the collaboration by all involved in an AI-

driven filmmaking production including filmmakers,

developers etc such that proper usages of it follows.

5.2.4 Conclusion

AI is set to revolutionize the film industry, which

offers both opportunities and challenges (Chow,

2020, Momot, 2022). If the film industry can

acknowledge and take responsibility for AI, and then

invest in education and training, the result is that AI

technology becomes a powerful tool with which to

tell new stories which people will understand; this

will not just guarantee future ethics in films but also

make those involved aware of their social obligations

(Nassar, 2024, Erpelding et al., 2024).

The Discussion and Implications section provides

a comprehensive summary of its findings throughout

the analysis (though not including those which are

covered in previous sections). The Limits of AI

Integration into Filmmaking: Opportunities for

Change' introduces conclusions drawn from five case

studies plus expert interviews and focus groups to

explain that this emerging content form is packed

with both exciting possibilities and both big issues

(Chow, 2020, Momot, 2022). These issues for both

creating proper films and how to manage the quality

of said films include: making sure that the data used

is ethical; that certain roles in filmmaking might lose

out because of AI panellists; and integrating AI

technology smoothly into film production processes

themselves. In one survey given by Momot (Momot,

2022) several factors were found to influence this

process: the readiness of the AI technology; how well

it fits the particular needs of the film industry; and

whether professionals in filming are willing to accept

these new technologies (Erpelding et al., 2024). To

address these challenges and realize the potential of

AI, the film industry must promote collaborative

unity; hold responsible AI practices that conform with

public benefit; and set up comprehensive programs of

education and training for all professionals in its own

ranks (Channa et al., 2024). As an integrative study

Lights, Camera, AI Action: Navigating the Disruptive Potential of Artiﬁcial Intelligence in Filmmaking

of AI technology and filmmaking, this approach not

only meets the needs of current professional marques

but is also something that will guarantee an ethical

film industry.

ACKNOWLEDGEMENTS

We extend our heartfelt thanks to the YouTuber

whose insightful content greatly enriched our

research and analysis. Your dedication to creating

informative and engaging videos has significantly

contributed to the filmmaking community. We are

deeply grateful for your valuable contributions and

the knowledge you share through your platform. This

research was also assisted by ChatGPT and other AI

automation tools for paraphrasing and analysis.

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