Human-AI Collaboration in Creative Endeavours

M Goutham Srinivas, Shashank and Tojo Thomas

Department of Data Science and Computer Applications, Manipal Institute of Technology,

Manipal Academy of Higher Education, India

Keywords:

Artiﬁcial Intelligence (AI), Creativity, Collaboration, Human-AI Collaboration, Creative Process,

Co-Creativity.

Abstract:

This paper explains the change of the creativity from various ﬁeld and integrates the Artiﬁcial Intelligence (AI)

with them. It also explains how the AI can collaborate with human and how does this AI-human collaboration

affect creativity? The research problem recognizes the creative activity as a dynamic and complex work

process, where various ﬁelds such as music, theatre, dance, ﬁne art, sculpture, painting and cinema come

together, lead to rich and new creative output. The literature review brings key evidence that reveals the

change in the form of research performed The analysis of ﬁndings provides various reasons to explain how AI

interact with human, makes work efﬁcient, helps to produce high quality output and respects human ethics as

well as how AI collaborate with a human. It also highlights how human play a crucial role in creative activity.

Conclusion ﬁnds as the result the complex relationship between the human and AI in creative domain helping

to feel respect to each other and maintain nature of work and keeping ethical issues etc.

1 INTRODUCTION

With the dawn of AI , a lot of things have started

to become automated and efﬁcient. There is even a

fear of AI taking over jobs which effect our life in

a very real way. in this study , we aim to provide a

consolidated view on human collaboration with AI in

creative endeavours. Efﬁciency of AI is undeniable

but AI being creative something which has not come

to fruiting yet. Creating something with nothing but

a vision in the brain is something that is thought be

unique to the humans, A lot evolution owes itself to

human’s creative genius. Can AI learn to be creative?

If yes, how do we tackle with the concept of own-

ership and credit? Is creativity to making converting

the artiﬁcial nature of AI into a more human like en-

tity? In their paper ”AI + Art = Human” (Daniele and

Song, 2019), Daniele et al., have explored the effects

of AI generated art on the lives human artists and how

that landscape has changed. They concluded that AI

can be a good augment for human creativity and helps

speed up the creative process. They also pointed out

that ethical concerns raise due to lack of human in-

volvement in AI generated art which has been trained

and is driven other artist’s work.

Human- AI working together on a creative project

is a very complex relationship. It can range from

a human using a simple AI tool or in developing

very complex mathematical insights. When it come

to creative ﬁelds, there are a lot of ethical concerns

that can be raised. especially in music,art and de-

signs.The lack of a consolidated view on this young

but rapidly evolving and complex relationship can be

a hindrance in the future. This research aims to ad-

dress this gap by synthesizing ﬁndings from various

other papers/studies, investigating the complex col-

laboration of humans and AI in creative ﬁelds offering

an understanding of the future , advantages and limi-

tation.

Creativity is not unique to ﬁelds like art, movies,

poetry, music etc. Humans use their creativity in

all aspects of life. This research paper aims make a

contribution in understanding the collaboration with

AI in creative works by examining AI’s impact on

wide range of domains from pure creative ﬁelds like

poetry,music, sound design to a more generic per-

spective of education, student-AI collaborations, etc.

The paper also explores the perspective of the arti-

cle by Puronas et al. (Puronas, 2023) on cutting-edge

projects like Sonic Alchemist and Shapi along with

taking a look at the ethical considerations that humans

need to have while dealing with AI in creative do-

mains. Also highlighted in this paper is the nuanced

and complex nature of Human-AI relationship and an

objective view at the advantages and disadvantages of

Goutham Srinivas, M., Shashank, and Thomas, T.

Human-AI Collaboration in Creative Endeavours.

DOI: 10.5220/0013622300004664

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

In Proceedings of the 3rd International Conference on Futuristic Technology (INCOFT 2025) - Volume 3, pages 485-495

ISBN: 978-989-758-763-4

485

this relationship for humans. Although paper’s con-

solidated views on Human-AI collaboration in cre-

ative domains sheds some much needed light on this

topic , It also serves as a valuable resource for setting

the expectations of the future and how to traverse this

dynamic and rapidly evolving area.

In the subsequent sections, this paper will ex-

plore the Human-AI collaboration on creative do-

mains like education, art, poetry, writing and some

genetic collaborations.The nature of AIs involvement

differs from ﬁeld to ﬁeld , In poetry and art AI can be

a good source of Augmentation and help in enhanc-

ing the style of a human, whereas in something like

Writing AI can work as a pure tool for paraphrasing

and ﬁll ups.All these explored in the paper based on

the ﬁeld.

2 FACTORS EFFECTING

HUMAN-AI COLLABORATION

Trust and Reliability: Trust and reliabil-

ity are critical additives of human-AI collabora-

tion, impacting interaction dynamics and preference-

making.Establishing belief among humans and AI

structures is critical to encourage effective collab-

oration because it gives customers self guarantee

within the gadget’s skills and intentions.Reliability,

however, guarantees that AI structures can carry out

continuously, making considerable contributions over

the years via supplying accurate and sincere conse-

quences. The goal for the user is to construct a power-

ful partnership that sells mutual understanding, coop-

eration, and a successful integration of AI technology

into several areas of human interest .

Communication and Feedback: Two-way com-

munication channels enable the transmission of data,

thoughts, and expectations from human to AI or AI to

human.Through this approach there may be coordi-

nation or alignment of targets and easy communica-

tion.This, furthermore, is viable because of the pres-

ence of effective feedback loops that give both aspects

a danger to talk about, evaluate, accurate and to adjust

facts presenting powerful collaboration. Human-AI

teams can acquire this objective with the aid of ver-

bal exchange and remarks.This helps remedy the trou-

bles of comprehensibility, proactively resolve spring-

ing up problems, and work out the details of inter-

active consequences in numerous creative ﬁelds and

obligations.

Cognitive Load and Mental Models: A human

and AI team could also take advantage of the under-

standing of cognitive load, which refers to the amount

and difﬁculty of information being processed, in both

human and AI workforces. By shifting the work tasks

so that more efﬁcient tasks are performed by low cog-

nitive load units and less efﬁcient tasks are handled

by high cognitive load units, higher performance is

reached for humans as well as AI. Through improved

matching of human and AI cognitive models, one

can predict better precision, reduced risks, and faster

decision-making under pressure. This sort of coordi-

nation will minimize friction between people and ma-

chines, thus making collaboration more natural, de-

pendable, and effective.

Ethical and Societal Considerations: These eth-

ical and societal questions are foremost in so far as

the ethics and societal impact of human-AI collabo-

ration is based primarily on how the impact on the

individuals and communities interacting with the AI

is shaped. Also, one of the priorities must be to en-

sure equality, non-discrimination and transparency in

AI algorithms and the decision-making frameworks

in order to avoid biased and discriminatory outcomes

emerging as a result. Besides this, understanding how

to manage issues such as displacement of workers, in-

vasion of privacy and growing digital divide - all im-

portant issues where trust and inclusion can be eroded

when AI technologies are utilised - are crucial to a

sustainable use of AI. One way to ensure the potential

of AI is used while avoiding infringement on funda-

mental human rights and societal resilience is to ﬁnd

the right and necessary balance between innovation

and ethical accountability.

Feedback and Iterative Improvement: It is sig-

niﬁcant because it guarantees the success of product

design. Users can provide feedback regarding what

they like and dislike, which can help to improve both

systems and processes. Iterative loops in human-AI

collaboration accomplish this, implying that AI sys-

tems will eventually be able to retain the most effec-

tive operational aspects from previous versions while

auto-tuning to new user requirements and tastes. Even

AI systems have the ability to provide feedback to hu-

mans. In general, feedback loops demonstrate how

the combination of humans and AI can produce ex-

cellent results.

3 BACKGROUND STUDY

Artiﬁcial Intelligence has been the talk of the town

for the past few years for being an augment in sci-

entiﬁc and academic ﬁelds,how does it fair when it

comes to creative domains? In this study we aim to

provide a consolidated view on human collaboration

with AI on a set of diverse creative ﬁelds.In this paper

, We have opted for a literature survey on 30+ papers

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as our main mode of data collection. The number of

papers may seem less but the diversity with respect

to the creative ﬁelds they belong to has been kept in

mind while identifying them. We showcase the results

of our analysis in AI’s compatibility with various cre-

ative ﬁeld such as art,poetry,writing,education and so

on.

Common challenges we have observed when im-

plementing AI, we tend to face some ambiguity that

include ethical concerns regarding the use of AI and

its nature, Ownership ambiguities( Does AI own the

work it did? Or do humans own it because AI is based

on human knowledge and experience?) and technical

limitations. when people manage to overcome these

challenges and work with AI. It is observed that the

over all user perceptions was positive to Human-AI

generated art as long it stuck more to its human part

.Studies on AI show that it is a great tool that helps

decrease the overall time taken to make something,

but it comes with concerns of humans becoming over-

dependent on AI and losing their creative touch. All

these studies collectively point towards one common

thing, Collaboration with AI in any ﬁeld is going to

the future and addressing the ethical concerns, im-

proving the way we interact with AI and Acknowl-

edging the nuances of each ﬁeld will be key factor in

making it better.

4 METHODOLOGY

4.0.1 Data Collection

• We carried out literature reviews in well-known

databases and scrapped the scope of the cur-

rent literature concerning Artiﬁcial Intelligence in

Creative projects.

• Search Sources: For this review, the databases

consulted were SCOPUS and Google Scholar.

Additionally, references from the incorporated

studies were investigated to uncover more relevant

results.

• Search Eligibility Criteria: Incorporated in this ar-

ticle are all studies that discuss AI-human collab-

oration. We do conﬁne our search to a few arti-

cles. Exclusions were made if the studies didn’t

adhere to the primary focus and those that were

not related to creative ﬁelds.

4.0.2 Assessment Criteria

• Efﬁciency of AI Tools: Examining the impact of

AI tools in different kinds of creative pursuits, like

writing, poetry, art, and ﬁlmmaking

• User Perception and Interaction: Evaluate how

users, interpret and interact with AI Tools when

they work with people on creative endeavors.

• Effect on Creativity: Examine the way in which

AI may improve the efﬁciency and overall creativ-

ity of a Project.

• Ethical Considerations: In this section, we discuss

the moral conundrums and worries arising from

AI’s application in creative Projects, such as de-

pendency, bias, and transparency.

5 AI-HUMAN COLLABORATION

IN POETRY AND ART

5.1 Analysis of related Papers

Revell et al.(Revell, 2022)’s ”Madeleine: Poetry and

Art of an Artiﬁcial Intelligence” explores how AI is

affecting poetry and art, speciﬁcally looking at how

human and machine creativity are merging. The

project addresses issues with appearance, trust, and

the emergence of feminized avatars, highlighting the

difﬁculties associated with cognitive and intelligence

boundaries. The research highlights subjective human

responses and components like surprise and curiosity

by examining AI-generated creativity and presenting

lateral and unexpected results in both text and images.

Beneﬁts include expanding deﬁnitions of intelligence

and proving AI can comprehend natural language;

however, drawbacks like limited memory and inac-

curacies highlight the need for more research on re-

entering AI-generated results into learning datasets.

Hitusuwati et al. (Hitsuwari et al., 2023)’s study

shed some more light on this context by examining

the aesthetics of AI-generated Haiku and comparing

and contrasting the differences when a human is in-

volved vs. when humans are not involved. The re-

sults, Although participants had a hard time differ-

entiating between a human generated Haiku vs an

AI-generated one, The Haiku with a human’s cre-

ative involvement scored more on the beauty scale.

This is one piece of evidence to say that Revell (Rev-

ell, 2022)’s point about AI understanding natural lan-

guage. A more fascinating viewpoint can be drawn,

Human AI creations actually increased the creative

output of the project and overall quality of haikus. But

because of algorithm aversion, the study also raises

questions about AI’s tendency to be based and in this,

the legal and moral implications of mistaking AI-

generated Haiku for Human-generated Haiku. This

Human-AI Collaboration in Creative Endeavours

487

points out and adds to the need for research on AI in

art.

For a more cutting-edge example of AI’s im-

pact on creative endeavors, Puronas et al. (Puronas,

2023)’s article showcasing the capabilities of Sonic

Alchemist, which helps in addressing the creative

stagnation when it comes to sound design in me-

dia.It was noticed that Sonic Alchemist’s outputs had

the ability to stimulate original thought and, as a re-

sult, revolutionized the entire sound design indus-

try. Another perspective is given by Arias-Rosales

et al.(Arias-Rosales, 2022), suggesting that tools like

Shapi are a great boon to humans in the design phase,

demonstrating very positive outputs. these positive

outputs are direct reﬂections of AI’s ability to improve

and simplify creative processes and provide more in-

sight into the way AI is changing the ﬁelds of poetry

and art.

Midjourney is an AI program that uses prompts to

create images, showcasing AI-human collaboration in

poetry and art. The 2022 Colorado State Fair’s digi-

tal art category featured a piece by Midjourney named

atre D’op

era Spatial, which took ﬁrst prize. Jason

Allen, the author of the prompt that caused Midjour-

ney to create the artwork, printed the result onto a can-

vas and used Midjourney to enter it into the competi-

tion under the name Jason M. Allen. The announce-

ment outraged other digital artists.Allen insisted he

adhered to the competition’s regulations and had no

regrets. The two category judges later said that they

would have given Allen the top prize even if they

had known that Midjourney used artiﬁcial intelligence

(AI) to create graphics.(Roose, 2022)

5.2 AI poetry

According to Vincent(Vincent, 2019)’s article on the

Verge ,In 2019, Google Arts & Culture worked with

artist Es Devlin and developer Ross Goodwin to cre-

ate ”PoemPortraits”. This project uses artiﬁcial intel-

ligence to construct unique poetry based on user in-

put, resulting in a collaborative experience in which

users contributed words that inspired an algorithm to

generate a personalized poem.

Poetweet is a Brazilian project that lets users turn

their tweets into poetry. While the initiative began as

an AI-driven process, it grew to include human inter-

action, allowing users to curate and enhance the gen-

erated poems(Correspondent et al., 2017).

The paper by Karaban et al. (Karaban and Kara-

ban, 2024) explores the swiftly converting ﬁeld of

device translation, paying unique attention to the

hard trouble of interpreting poetry. It evaluates the

conformity of AI-pushed and human-produced trans-

lations to poetic standards, linguistic nuances, and

cultural sensitivity. The observations demonstrate

AI’s stunning improvements in maintaining poetic

shape and depth through methodical evaluation, even

whilst troubles with meter, rhyme, and cultural con-

texts nonetheless need to be addressed. Although

AI systems are dependable and professional in a

few regions, human translators are better at decod-

ing cultural quirks and contextual intricacies, which

increases questions on in which AI-pushed literary

translation methods would possibly nonetheless be

advanced.

5.3 The end of creativity?

These tools are helpful, but they don’t take the place

of a designer’s imagination and expertise; only delib-

erate application achieves the desired result. Because

the old adage ”beauty is in the eye of the beholder” is

no longer acceptable when discussing commercial de-

sign.Because Midjourney may offer motivational and

directive input for our UXi process at this stage, us-

ing it enhances our day-to-day operations. The ques-

tion arises whether these tools truly end human cre-

ativity or if we should consider the broader context,

where they enhance visual presentation of ideas and

thoughts.

6 IMPROVING EDUCATION

WITH AI

6.1 Analysis of related Papers

Antonio et al., (Figoli et al., 2022) have written this

study to address the challenge of introducing Artiﬁ-

cial Intelligence (AI) systems into the early stages of

the design process and exploring the perceptions of

design students regarding the collaboration between

humans and AI. The focus is on understanding both

technical and sensitive criticalities that may arise in

human-AI collaborations during the design process.

Through their simulations they highlighted the poten-

tial beneﬁts of practical training to enhance students’

awareness and ability to collaborate with ai systems

and shed light on design students’ attitudes and per-

ceptions regarding the integration of AI tools in the

early stages of the design process. But the work lacks

any details about speciﬁc AI algorithms or tools used

in the study, limiting a detailed understanding of the

technical aspects.

In order to address the dearth of solid information

about the impacts of Student-AI Collaboration (SAC),

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488

this research of Kim et al. (Kim and Lee, 2023) exam-

ines the inﬂuence of SAC on a public advertisement

sketching job. Depending on students’ views about

AI and drawing proﬁciency, SAC has varying effects

on creativity, expressivity, and public utility. The pa-

per highlights AI as ﬂexible scaffolding that adjusts

assistance based on user requirements. Although the

small sample size of 20 students aids in the compre-

hension of the beneﬁts of SAC, generalizability issues

are raised. The study recommends that future research

examine SAC in a variety of learning tasks using var-

ious AI kinds and take group-level cooperation into

account.

In comparison to conventional self-directed ap-

proaches, the effectiveness of incorporating ChatGPT

into programming education is examined in a study

carried out by Dan Sun et al. (Sun et al., 2024). They

compare the conventional self-directed programming

(SDP) mode with ChatGPT-facilitated programming

(CFP) mode using a quasi-experimental methodol-

ogy. The main artiﬁcial intelligence tool for students

is ChatGPT. Students use programming environments

such as Python’s IDLE or Jupyter Notebook.The re-

sults provide insight into the effects of ChatGPT on

students’ perceptions and learning experiences by re-

vealing notable behavioral and performance dispari-

ties between the CFP and SDP modes.Although Chat-

GPT provides beneﬁts like tailored support and or-

ganic communication, there are worries about pos-

sible over-dependence and unpredictability in its

replies. To learn more about ChatGPT’s function

in programming education, future research directions

might look into longitudinal studies and various inte-

gration approaches.

The purpose of the research project is to investi-

gate how using the generative artiﬁcial intelligence

(AI) ChatGPT-3 in a classroom setting affects stu-

dents’ capacity for divergent thought (Habib et al.,

(Habib et al., 2024)). They test students’ ﬂexi-

bility, ﬂuency, elaboration, and originality using a

mixed methods approach, utilizing both qualitative

and quantitative data obtained through an Alternative

Uses Test (AUT) in a college-level creative course.

Although ChatGPT-3 can improve the ﬂuency and

elaboration of divergent thinking, there are issues

with over-reliance as well as restrictions on creativ-

ity and adaptability. Notwithstanding its advantages,

there are many drawbacks, including moral dilemmas

and the requirement for more study to extrapolate re-

sults to other educational settings.

6.2 Language Translation

The Use of Language Translation to Enhance Teach-

ing:

By putting off linguistic obstacles and facilitating

communique between students and instructors who

speak different languages, artiﬁcial intelligence (AI)-

powered language translation generation holds su-

per capacity to improve training. This technology

improves accessibility and inclusivity in numerous

getting to know contexts through allowing real-time

translation of instructional substances, commands,

and communication in a seamless way.

Example: One tremendous example of language

translation implementation for improving schooling

is Google Translate which includes artiﬁcial in-

telligence (AI), specially neural device translation

(NMT). NMT is a type of AI that uses deep mas-

tering algorithms to improve the ﬁrst-class and ac-

curacy of translations.Google Translate transitioned

from older statistical gadget translation techniques

to NMT in 2016, appreciably enhancing its transla-

tion skills.NMT fashions are skilled on huge amounts

of multilingual information, allowing them to study

complex patterns and relationships between lan-

guages. This allows Google Translate to produce

more natural and ﬂuent translations by way of con-

sidering context, syntax, and semantics.Additionally,

Google continuously updates and reﬁnes its AI fash-

ions to improve translation present over the years.

Google Translate offers a huge variety of functions,

consisting of textual content translation, speech trans-

lation, or even photograph translation the use of neu-

ral gadget translation technology.In academic set-

tings, Google Translate can be applied to translate

textbooks, educational substances, and lecture room

discussions into more than one languages, allow-

ing students who are non-local speakers of the lan-

guage of practise to higher recognize the content ma-

terial.Moreover, educators can use Google Translate

to speak with students and dad and mom who talk

distinct languages, making sure powerful conversa-

tion and parental involvement inside the educational

manner.

By leveraging language translation era like

Google Translate, educational establishments can cre-

ate more inclusive and accessible studying environ-

ments wherein language limitations now do not pre-

vent students to get entry into ﬁrst-class educational

institutions. However, it’s essential to know the re-

strictions of gadget translation, together with inac-

curacies and nuances misplaced in translation, and

to use those to gear as supplementary aids instead

of replacements for human language preparation and

Human-AI Collaboration in Creative Endeavours

489

support. Further research and development in lan-

guage translation technology are needed to address

those challenges and maximize its potential effect on

schooling.

7 AI IN ENTERTAINMENT?

7.1 Analysis of related Papers

Today’s entertainment Industry is all about AI, Gen-

erating visual effects for Hollywood movies, games

and design inputs in sound design and so many more

examples where AI has already made it’s mark.This a

topic of growing interest, with studies like Ashktorab

et al.(Ashktorab et al., 2020), Vinchon et al. (Vin-

chon et al., 2023) and Laird and van Lent (Laird and

VanLent, 2001) shedding some much needed light

on various aspects of Human-AI interactions. These

studies provide nuanced perceptions that users tend

to have towards AI algorithms. They also highlight

the potential biases that AI can show as a result of

its source(which is Humans).These biases may ef-

fect user experience and addressing them in future re-

searches is very important.

Ashktorab et al.(Ashktorab et al., 2020)’s study

for example, show that the participants generally view

human partners as smarter, more creative/imaginative

and more likeable than AI companions in collabora-

tive contexts. Though the results of this study did not

show signiﬁcant differences based on social judge-

ments, The AI agent’s conﬁdence levels did have an

effect.This undermines the idea of transparent AI al-

gorithms, as user perceptions and experiences are be-

ing inﬂuenced by AI.

Similarly, Vinchon et al.(Vinchon et al., 2023)

shows user perceptions in a word guessing game.

They found that participants preferred human team-

mates rather AI companions, the reasons stated for

this are that humans are more charming clever and

creative. However, there was not a big difference in

collaboration results.

Laird and van Lent’s (Laird and VanLent, 2001)

paper on the potential of interactive computer games

for achieving incremental progress in human-level AI

also provides insights into AI’s creative impact on the

entertainment industry. It states that computer games

offer challenging environments for tackling isolated

AI research problems and can provide continual, ad-

vancing, and realistic settings for AI researchers. This

approach allows for addressing challenging AI prob-

lems incrementally in evolving domains, which aligns

with the interactive nature of game development and

the entertainment industry’s focus on innovation and

creativity.

Using a word guessing game, this study of Ashk-

torab et al. (Ashktorab et al., 2020) investigates

user perceptions in collaborative contexts using AI.

In comparison to AI companions, participants thought

human partners were smarter, more imaginative, and

more likeable. The results of collaboration indicated

no discernible inﬂuence, despite variations in social

perception. Positive social judgments were impacted

by the AI agent’s conﬁdence levels, highlighting the

need of transparency. Nevertheless, there is no inves-

tigation of potential cultural biases in the study. Fu-

ture study must address biases and improve algorith-

mic transparency in light of the negative association.

The results highlight how important user experience

is to AI collaboration.

These studies highlight the complex interactions

between AI, user perceptions, and collaboration re-

sults in the entertainment industry. They underscore

the importance of transparency in AI algorithms, the

impact of conﬁdence levels on user comfort with AI

partners, and the potential of interactive computer

games for advancing human-level AI. Addressing bi-

ases and improving algorithmic transparency are es-

sential for enhancing user experiences and realizing

AI’s creative potential in entertainment. Apart the

above mentioned studies which highlight the complex

interactions that humans tend to have with AI, There

are currently few real applications of AI that manage

to aid in a very big manner to the process of producing

a big budget Hollywood project.

7.2 Current state of AI in Filmaking

Elias (Elias, 2023) states that Hollywood has always

been a shining example of innovation at the center

of the entertainment industry, pushing the frontiers of

sound design, visual effects, and storytelling. But the

most recent revolution in Hollywood is about the in-

corporation of AI, not only about star-studded casts

or avant-garde photography. Every aspect of the busi-

ness is changing as a result of this technological rev-

olution, from video editing to writing engaging video

scripts.

Artiﬁcial intelligence (AI) techniques that im-

prove the generation of video material are streamlin-

ing the post-production process, which was formerly

a labor-intensive task. Artiﬁcial intelligence is proven

to be a very useful tool in a variety of ﬁelds, includ-

ing advanced sound mixing, ﬁlm editing, and sound

editing. However, it goes beyond simply improving

what currently exists.The fundamentals of technology

in ﬁlmmaking are being revolutionized by artiﬁcial

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490

intelligence (AI), which is bringing completely new

capabilities like digital de-aging and voice cloning.

We’ll examine the various ways AI technologies

are paving the way for a new Hollywood, where ma-

chine learning and human creativity collide and the

possibilities are genuinely endless, as we dig deeper

into this revolutionary period.

7.2.1 Video Editing and Post-Production

Nowadays almost all movies tend to involve some

post production work . This stage involves transform-

ing unﬁnished footage into a complete and good story

and crafting sounds and images to convey certain feel-

ings. Hollywood’s adoption of AI is causing a sig-

niﬁcant shift in this the post production phase of a

movie.Modern video editing involves more than just

cutting and splicing. Nowadays, AI can automati-

cally scan ﬁlms, identify crucial areas, and even of-

fer changes to the scene that may improve its qual-

ity. This ensures an unprecedented degree of preci-

sion while also improving the post-production proce-

dure.AI is transforming post-production aspects like

color grading, noise reduction, and the incorporation

of complex visual effects. Utilizing AI, tools like

Topaz Labs’ video upscaling enhance video quality

by bringing out the sharpness and color vibrancy in

each frame. In terms of audio, Izotope’s Neutron pro-

gram uses AI to do audio mixing, making sure the

music matches the images appropriately.

7.2.2 Digital Re-Aging

One of the most innovative AI technologies revolu-

tionizing Hollywood is digital de-aging technology.

This cutting-edge innovation not only has the ability

to make seasoned actors seem decades younger, but

it’s also creating storytelling opportunities that were

previously unthinkable.

For instance, lengthy de-aging procedures were

employed in Martin Scorsese’s ”The Irishman” to al-

low Joe Pesci, Al Pacino, and Robert De Niro to por-

tray their characters at different stages of life. The In-

dustrial Light and Magic system used machine learn-

ing and visual effects to achieve this. In a similar vein,

the movie ”Gemini Man” saw Will Smith’s younger

self facing out against his older self thanks to techno-

logical advancements in re-aging.

De-aging has applications beyond aesthetics; it

might even revive famous actors who are no longer

with us. Businesses such as Respeecher are develop-

ing vocal cloning technology that, when paired with

age-reversing visual effects, may enable actors who

have passed away to give whole fresh performances.

Figure 1: (Watercutter, 2019) Robert De Niro – The Irish-

man (2019)

In Hollywood, de-aging is nothing new. Numer-

ous performers have experienced the procedure. The

method is now much improved by AI, which is the

difference.

• Brad Pitt – The Curious Case of Benjamin Button

(2008)

• Samuel L Jackson – Captain Marvel (2018)

• Jeff Bridges – Tron: Legacy (2010)

• Robert Downey Jr – Captain America: Civil War

(2016)

• Robert De Niro – The Irishman (2019)

• Will Smith – Gemini Man (2019)

• Stephen Lang – Avatar: The Way of Water (2022)

Digital de-aging is expected to challenge our un-

derstanding of time, age, and the very essence of sto-

rytelling itself as it develops, adding

7.2.3 VFX and Animation

The ﬁelds of animation and visual effects have long

been good examples of the marriage of creativity and

technology. Hollywood’s use of AI brings this combi-

nation to light and broadens the possibilities for what

might be accomplished on screen. Previously arduous

processes like rotoscoping have been made simpler by

AI approaches like Runway. Artists may emphasize

the more intricate and creative parts of ﬁlm editing by

automating these processes.

In addition to simplifying tasks, artiﬁcial intelli-

gence is enhancing scene quality. It can easily make

improvements like color corrections and noise reduc-

tions after closely examining a photo, which improves

the image’s visual narrative. This improves the qual-

ity of the ﬁnished output and streamlines the post-

production process.

It’s clear how AI has affected animation. Char-

acter motions and voiceover lip-syncing are only two

examples of how everything is becoming better. De-

velopments in speech synthesis and cloning bring in

Human-AI Collaboration in Creative Endeavours

491

a new era of efﬁciency, allowing animated ﬁgures to

have conversations.

Furthermore, AI is at the point where it can mostly

produce short animations. For example, AI is used to

build the backgrounds for the short animation ”The

Dog and the Boy,” (contributors, 2024), which made

its premiere on Netﬂix Japan earlier this year. Ry-

otaro Makihara directed the animation, which Netﬂix

claims ”used AI image generators for the background

images to help the anime industry, which has a labor

shortage.” (Conﬁrmed)

7.2.4 The Future of Filmmaking

It seems certain that AI tools will continue to change

the ﬁlm business in the future. There is no denying

the efﬁciency increases; jobs that used to take hours

may now be ﬁnished in a fraction of the time, which

results in huge cost savings. But AI is giving birth to

new forms of artistic expression and cost/time-saving

measures. With technologies that help with every-

thing from post-production to scriptwriting, ﬁlmmak-

ers can concentrate more on the creative aspects of

their work.

However, the value of cross-training cannot be

emphasized as AI tools are being used in all areas of

the ﬁlm industry. Anyone working in the ﬁlm indus-

try, from producers and directors to editors and sound

engineers, will need to understand the strengths and

weaknesses of these AI tools.

Hollywood’s adoption of AI is more than just a

fad; it’s a complete shift that is changing the indus-

try from its roots. These instruments do not replace

human creativity and inventiveness, even though they

are very efﬁcient and create new creative opportuni-

ties. It’s critical to strike a balance as we enter this

new chapter of Hollywood 2.0— with evolving tech-

nological breakthroughs while holding onto the as-

pects of human creativity that give movies their emo-

tional depth with the audience.

7.2.5 Findings

• Effectiveness of AI Tools: Artiﬁcial intelligence

(AI) applications in the ﬁlm industry have been

shown to improve overall output, post-production

process, and decrease total workload. They are

very useful additions.

• User Perception and Interaction: Companions

made of artiﬁcial intelligence do not have the

charm, creativity , and likeability of their human

counterparts. This is why while working on cre-

ative projects, individuals prefer to work with hu-

mans rather than AI ones.

• Impact on Creativity: It is still reasonable to have

concerns about how technology can undermine

artistic originality and replace the human touch,

especially since AI can perform creative tasks like

animation and digital aging.

• Ethical Considerations: It’s important to consider

biases in AI algorithms, preserving transparency

and safeguarding the integrity of creative endeav-

ors when utilizing AI tools in the ﬁlm industry.

8 BETTER WRITING WITH AI

8.1 Analysis of related Papers

fang et al., (Fang et al., 2023) addresses the lack of

an in-depth review in the recent past on using AI in

story-writing within the context of language educa-

tion. Through their research and simulations, they

saw that Human-AI collaboration can effectively im-

prove the overall story by increasing the depth in

terms of the character motivations and satisfactions.

But the paper lacks comprehensive details on the spe-

ciﬁc AI algorithms or models used in the study which

limits the insights when it come to the technical as-

pects. Salvagno et al., (Salvagno et al., 2023) explore

the integration of AI chatbots, particularly ChatGPT,

in scientiﬁc writing. Advantages include enhanced

writing assistance, improved efﬁciency, and potential

time-saving beneﬁts. However, concerns arise about

dependency risks, emphasizing the urgency for inter-

national regulations to ensure ethical and responsible

AI use.

In ”How to Cheat on Your Final Paper: Assigning

AI for Student Writing,” Fyfe (Fyfe, 2023) explores

the integration of AI, speciﬁcally GPT-2, into student

writing prompts, raising ethical dilemmas. Concerns

center around plagiarism, AI assistance conditions,

and the overall impact on writing originality and cre-

ativity. Results show that students perceived using

GPT-2 as more challenging than expected, particu-

larly for longer genres where it struggled with logi-

cal perspective. The need for manual guidance chal-

lenged the main characteristic of AI as an automated

writer. Despite its capacity for fabrication, GPT-2’s

potential spread of misinformation and biases raised

signiﬁcant concerns. This study highlights the com-

plex dynamics and ethical considerations surrounding

AI’s role in student writing.

Maiden et al., (Maiden et al., 2023) have writ-

ten this study to address the limited uptake of digi-

tal creativity support tools in professional work con-

INCOFT 2025 - International Conference on Futuristic Technology

492

texts, particularly in solving complex problems. The

focus is on the challenge posed by machine intel-

ligence and the potential hindrance of co-creative

AI tools in professional environments. The work is

simulated using a co-creative AI tool named Sport

Sparks which was applied in the context of coaching

professional football players, providing coaches with

creative solutions to coaching challenges. Through

their simulations they observed that the Sport Sparks

tool demonstrated potential in generating novel ideas

for coaching challenges, fostering creative thinking

among coaching practitioners. But the lack of inade-

quate technical data about this ﬁeld suggests that there

is need for additional research to support the other

stages of creative problem-solving, such as evaluating

ideas and sharing ideas with the AI tool in question.

8.2 WriterHand AI: Real world

example of Creative writing with AI

Artiﬁcial intelligence (AI) has grown tremendously

in the past few years and is making its way more

and more into our everyday lives.Artiﬁcial intelli-

gence (AI) has advanced signiﬁcantly in the last sev-

eral years and is now progressively incorporated into

our daily lives. We’ll use the artiﬁcial intelligence

story generator ”Writerhand” as an illustration.Its in-

novative and astute design offers excellent text gen-

eration without requiring registration or placing lim-

itations on daily use. All you have to do is type a

command, and the AI will produce the desired text1.

Therefore, the emphasis is on providing helpful writ-

ing assistance, even though the speciﬁc model details

are kept conﬁdential.

8.2.1 How does it work?

The AI is equipped with a massive database of infor-

mation and patterns that the AI system analyzes. The

system then generates a unique story based on this

analysis. The AI story generators use complicated al-

gorithms that can make different versions of stories

that make sense, are interesting, and keep you inter-

ested. Writerhand AI Text Generator utilizes its own

proprietary AI model, and it doesn’t explicitly men-

tion a speciﬁc pre-trained model like GPT-3 or GPT-

8.2.2 How Does AI Boost Creativity?

AI story generators can be a powerful tool to boost

creativity, as they allow users to generate unique story

ideas and plotlines quickly and effortlessly. By han-

dling the time-consuming tasks of brainstorming and

planning, AI-powered tools enable writers to concen-

trate on creating fascinating characters and sophisti-

cated plots. With the help of AI, creators can try

out new ways of telling stories and different genres,

which will lead to more creative and unique works in

the end. AI plot generators are not only a fun tool

to explore your imagination, but also a wonderful re-

source for people who are experiencing writer’s block

or need inspiration. By giving unique story ideas, the

AI could help writers get out of their comfort zones

and try out new ideas and genres.Brainstorming is an

important part of being creative because it helps peo-

ple come up with ideas and solutions to problems. It

can be challenging to come up with fresh and unique

ideas, especially when working on a tight deadline.

This is where AI story generators can be of great help

in improving your brainstorming.

8.2.3 Example of a story generated by

WriterHand:

The prompt given was: ”a superhero story about a guy

with frog powers”. The Story: ”Meet Jake, a seem-

ingly ordinary guy, with an extraordinary secret. Jake

had always been different from others, but he never

knew why. That is, until one fateful night. It was a

dark and stormy night, the kind of night where strange

things happen. Jake was walking home from work

when he suddenly felt a strong surge of energy course

through him, causing his body to shake and tremble.

Before he knew it, his clothes began to rip and tear,

revealing a skin that was now green and slimy. As the

transformation took over, he could feel his bones and

muscles shifting and changing. Within minutes, Jake

had turned into a half-man, half-frog creature, with

the ability to leap great distances and stick to walls

like a frog. At ﬁrst, Jake was terriﬁed. He didn’t know

what was happening to him or how to control his new

abilities. But soon, he came to realize that he was not

just an ordinary man anymore.”

9 DISCUSSION

The ﬁndings of this analysis shed some much

needed light on how AI is changing the way we ap-

proach creative endeavours. AI tool are proving to

a very reliable augment to the human creative mind.

The can impact creative output in a positive manner,

make tedious and long workﬂows more efﬁcient, and

even open up newer ways of artistic expression. The

nature of the partnership between AI and humans on

creative projects is still in its infancy and is the main

point of discussion. Despite their ability to enhance

Human-AI Collaboration in Creative Endeavours

493

the results of a creative project, AI algorithms have

the capability to replace humans in a few places and

even destroy creative integrity and authenticity. This

is one of the main reasons why humans prefer human

collaborators over creative AI partners, Which begs to

question the place of AI-human creative partnerships

and the preservation of the human touch in creative

endeavors.

Furthermore, keeping in mind the ethical consid-

erations while using AI tools is very important. AI-

generated content and its effects on creativity and

originality can become very signiﬁcant if not used

properly. plagiarism and wrong information is often a

trait of AI generated content and this tends to impact

the a creative projects authenticity and integrity. Strict

and precise rules with strong moral framework is the

only was to ensure responsible use AI tools and re-

ducing risk. The use AI will only go up from here on

out as it will take up a major role in content creation.

The discussion also touches on the more general

implications of AI in creative ﬁelds, such as its effect

on best practices in already matured industries, job

roles and how the public perceives creative projects

like movies and poetry. as we have discussed previ-

ously, AI tools help the overall productivity and efﬁ-

ciency but can also make few skill obsolete which can

cause job displacement and affect real human lives.

Additionally, Using an AI algorithm for intensive pur-

poses like vfx and ﬁlmmaking can require expensive

hardware. Addressing the fair distribution of AI ben-

eﬁts among all socioeconomic groups is equally im-

portant.

10 CONCLUSION

To conclude, utilizatin of AI in a collaborative

form in the creative industry, particularly, poetry, art,

ﬁlmmaking, writing, education, etc, has proven to be

a perfect use of the technology. To this extent, the

creative process has been enhanced and made more

imaginative, productive and innovative.

Yet these ethical tensions and doubts around the

truly transformative human-AI relationship open up

some difﬁcult questions: Adopting a singular focus

that concentrates on the content being generated by

AI raises other troublesome ethical predicaments. For

starters, we need to devise appropriate ways to ad-

dress plagiarism. In the age of machine-assisted writ-

ing, how can we differentiate ’cheating’ from creative

expression - from, in fact, a different mode of au-

thorship altogether? Misinformation is another thorny

ethical problem, as AI-generated text increases expo-

nentially. And what if, in developing sophisticated

writers, AI software undermines artistic expression

per se? The future is not - and never has been - ours

to control.

Moreover, we want to avoid art that exclusively re-

lies on an AI, where it simply replaces human creativ-

ity altogether, leaving no meaning or artistic agency

for the human behind the code. So, these are some

tentative ideas about the idea that ‘art is whatever the

artist says it is’, but what else can we do? First of all,

it’s possibly a problem approach by posing a question

at all; perhaps, instead, it is at times a deﬁnitive state-

ment. Perhaps, the lack of a substantive criterion for

art is the precise point being expressed with such in-

tensity. Ultimately, deﬁning criteria for art frequently

focuses on the intentions of the agent behind the art.

To make sure AI is used responsibly in the future,

there is a need to deﬁne ethical, fair use before prob-

lems start occurring, and to manage what have been

called – with some fear – the inevitable displacements

caused by automation. Such issues include the dis-

placement of human labour through automation, the

fear of which is high on the political and self-help

agenda, the obsolescing of skills, and equity in access

to the fruits of creativity. Could increasing automa-

tion and reliance on smart cities make our lives brit-

tle? Above all, how will power and wealth be shared

in the creative economy of the future? The problem is

one of the classic ideas of economics: who gets what;

and, what happens if you need to adapt to new reali-

ties. What are the back-up and exit strategies?

Ultimately, the integrating of AI into creative do-

mains is a paradigm shift, with opportunities and pit-

falls. If we address them with thoughtfulness, we can

incorporate AI into creative pursuits to increase cre-

ativity, innovation and human expression in the digital

age.

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