AI Smartphones: A Conceptual Review in Generative Arts

Imran Othman

Faculty of Creative Mul y, Cyberjaya, Malaysia

imran.othman@mmu.edu.my

Keywords: Artificial Intelligence, Smartphone, Generative Arts.

Abstract: The emergence of artificial intelligence (AI) smartphones has created a new form of artistic expression. This

paper presents a conceptual review of the potential applications of AI smartphones in generative arts, the

impact of such technology on generalizing the creation of art, and the advantages, disadvantages, and

prospects of AI smartphones. It also discusses processing power restrictions and authorship issues in the works

created with the aid of AI smartphones through generation scenarios. Therefore, this study could serve as a

point of reference for researchers, developers, and practitioners to gain insights into the current status of AI

smartphones and its potential implications for the creative sector.

1 INTRODUCTION

In late 2022 and early 2023, there was a surge in

generative AI using tools such as ChatGPT and

advanced search engines. AI features on smartphones

are not entirely new; they can be traced through

features like voice recognition, facial recognition,

predictive text, and personal assistants. Today, AI is

deeply embedded in mobile operating systems,

enabling more functions such as augmented reality

and adaptive performance optimization. Now, by

2024, with generative AI on the rise, AI smartphones

such as Samsung Galaxy S24, Google Pixel 8, and

Xiaomi 14 Ultra could be the next powerful tools for

artistic expression. AI Smartphones are integrated

with generative AI features, such as AI-powered

image content generation and editing, real-time

multilanguage translation, summarizing video and

voice memos, and enhanced AI smartphone cameras.

AI smartphones can analyze group selfies and

create a perfect photo in which every-one looks

happy, even if they are not smiling at the same time.

Users can easily manipulate photos, allowing them to

erase unwanted objects, change backgrounds, and

resize or move specific elements within the image.

Furthermore, image searching is possible by

highlighting any part of a photo and instantly finding

relevant information online. AI smartphones also

create textual content or copywriting by suggesting

edits to ensure that the message conveys the exact

https://orcid.org/ 0000-0002-3120-081X

feeling you intend, whether it is a formal email or a

casual social media post. These generative AI tools

empower users to enhance their creativity,

communication, and photo-editing experience on

their smartphones.

2 LITERATURE REVIEW

The integration of artificial intelligence (AI) into

smartphones has opened up new possibilities in

various fields, including generative art. The

International Data Corporation (IDC) defines AI

smartphones as devices with a system-on-a-chip

(SoC) capable of running on-device Generative AI

(GenAI) models more quickly and efficiently with 30

tera operations per second (TOPS) or more,

leveraging a neural processing unit (NPU)

performance using the int-8 data type (Popal, 2024).

Generative art refers to artwork created using

algorithms, randomness, and computational

processes. It is a fascinating branch of art that uses

algorithms and code to create unique pieces. The

artist sets the parameters and rules and the computer

per-forms the rest, generating surprising and beautiful

results. It allows artists to relinquish control over the

creative process, resulting in unexpected and novel

outcomes (Cetinic, 2022). AI, particularly deep

learning models, has revolutionized generative art by

Othman, I.

AI Smartphones: A Conceptual Review in Generative Arts.

DOI: 10.5220/0013327800004557

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

In Proceedings of the 4th International Conference on Creative Multimedia (ICCM 2024), pages 23-28

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

enabling machines to learn patterns from existing

artwork and generate new ones autonomously.

Popular online AI art generators such as Dall-E,

Midjourney, and Stable Diffusion can produce

generative images based on user prompts (Newton &

Dhole, 2023). These advancements extend beyond art

creation to applications, such as diabetic retinopathy

screening (Natarajan et al., 2019) and road damage

detection using smartphone images (Maeda et al.,

2018). However, with an AI smartphone, this task can

be performed without an Internet connection because

the AI features are built-in.

The challenges of AI generative art include public

perception. Studies have indicated a public bias

against generative artwork because of the perceived

lack of effort from users (Gangadharbatla, 2021).

Despite this bias, AI has played a significant role in

artwork creation. AI even enables users with limited

artistic skills to create generative images (Rasrichai et

al., 2023).

The use of AI in generative art has raised

questions regarding the attribution and valuation of

AI-generated artwork (Epstein et al., 2020). Studies

have explored biases in generative art, highlighting

the importance of understanding and quantifying

them (Srinivasan, 2020; Srinivasan, 2021).

Additionally, cognitive aspects of audience reception

towards artistic style transfer, emphasizing the need

to consider critical factors for enhancing

humanization in computational aesthetics (Lyu et al.,

2022).

Furthermore, the moral implications of interacting

with AI-generated art have been investigated,

shedding light on how such interactions affect the

perceived moral standing of AI creators (Lima et al.,

2021).

As AI continues to evolve in the art domain, it is

crucial to reflect on the potential and limitations of

AI-generated art through case studies and examples

(Yusa et al., 2022). Understanding implicit attitudes

towards AI art and the cognition of audiences

regarding artistic style transfer can provide insights

into the reception and acceptance of AI-generated

artworks (Zhou, 2023; Lyu et al., 2021).

Generative art utilizes algorithms to create novel

artwork. AI-powered smartphone apps make

generative art creation accessible to a wider audience.

While this democratization of art creation is

commendable, there are concerns that AI may stifle

artistic originality. Moreover, the integration of AI

into creative processes necessitates a deeper

exploration of autonomy, authenticity, authorship,

and intention in computer-generated art (McCormack

et al., 2019).

3 AI SMARPHONE TOOLS

Some of the common features of AI tools in

smartphones that are useful for genera-tive arts

include the following.

Real-Time Language Translation: This will break

all language barriers in communication. To salvage a

person from fumbling with translation apps while on

call, the AI smartphone has a built-in live interpreter,

which lets one chat in several languages. It will allow

live phone calls to be translated in real time, both in

voice and text, between two different languages. This

could possibly make it the easiest and fastest way to

break through all those language barriers, be it with

whom you are trying to com-municate via call, be it a

landline or another smartphone. In addition, it

remembers the language of your preference, learning

which languages you use the most to make future

calls even smoother.

AI-powered photo editing tools: AI smartphones

will have a range of AI-powered photo editing tools.

For example, “Best Take” can analyze group selfies

and swap facial expressions among images. In other

words, Google's AI can create a perfect photo in

which everyone is smiling, even if that moment has

never happened. The camera will take several shots

of the group selfies and then edit the favorite facial

expressions into a single frame. This is similar to

remixing group shots with the best faces from

different multiple shots or bursts.

The magic Editor allows the user to tap or circle

an object and resize or shift it. The magic Editor also

uses generative AI to change the background. With

this generative edit tool, users can easily erase or

modify the positions of objects in their images. Other

tools include features that are similar to desktop photo

editing tools, such as eraser to remove unwanted

objects and Photo Unblur to sharpen an image.

In-app image searches- Google offer "Circle To

Search" on the newest Galaxy smartphones, allowing

users to use simple gesture, you can select what

you’re curious about in whatever way comes

naturally to you like circling, highlighting, scribbling

or tapping snippets of text, parts of photos or videos

to get instant search results about whatever has been

highlighted.

AI smartphones will also enable quick and easy

manipulation of the appearance and placement of

specific parts of the pictures taken on the camera of

the device. It is a feature that could help people refine

their photos and videos but could also make it easier

to create misleading images. (Othman I , 2023)

Chat Assist: The integrated Chat Assist feature

offers invaluable assistance to those seeking to

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elevate their written communication. This

functionality, seamlessly accessible within

conversation or chat, provides real-time support while

composing messages, emails, social media posts, and

a variety of other text-based communications. The

Chat Assist operates by intelligently analyzing your

text as you type. It then suggests adjustments to

ensure that the tone aligns precisely with the desired

message. For instance, when crafting a professional

email to a colleague, Chat Assist can trans-form the

initial draft into more formal and polished

communication. Conversely, if you are composing a

social media caption and seeking a concise, attention-

grabbing phrase, simply include the hashtag

"#social." Chat Assist will then analyze your text and

propose a version tailored to the specific social media

platform's style and audience.

Table 1 shows a general comparison between AI

smartphones and online AI tools. Online AI tools can

refer to any popular AI bot, such as ChatGPT,

Gemini, and Copilot. AI Smartphones can also use

online AI Tools if they are connected to the internet.

Therefore, it supports the capabilities of both offline

and online AI tools.

Table 1: Comparison of AI Smartphones and Online AI.

Feature AI Smart

hones Online AI Tools

Accessibil

AI Available

offline

Requires internet

connection

Performan

Limited by device

hardware

Potentially higher

performance

because run on

servers

Customiz

ation

Limited

customization

tions

May offer more

customization for

users

Updates Dependent on

device

manufacture

Updates managed

by service provider

Privacy Data often stays

on device,

enhancing

rivac

Data may be stored

on servers / cloud,

raising privacy

concerns

Response

Time

Usually faster due

to local

rocessin

Response time

may vary based on

internet s

Integratio

Integrated with

device functions

Integration with

various online

services

Resource

Usa

May consume

device resources

Requires server

resources

4 APPLICATION OF AI

SMARTPHONES IN

GENERATIVE ARTS

AI Smartphones can become powerful tools in

generative art. Examples of applications include the

following.

Generative content creation for personal and even

commercial use - There is a boom-ing market for

generative art that leverages the processing power and

capabilities of AI smartphones. AI smartphones run

algorithms to generate visuals, sounds, or even text

based on their user’s input or data from their

environment. This allows artists to break free from

conventional norms and to create fresh, unexpected

compositions. Whether it is generative pictures,

videos, digital sculptures, or music, AI smartphones

foster innovation.

Interactive art experiences can be easily

implemented. AI Smartphones can bridge the gap

between artists and audiences by enabling interactive

generative arts. Imagine using your phone to

manipulate an on-screen generative artwork in real-

time, influencing its form, effect, and animation. The

phone's camera is used to capture a scene, and then

AI is used to sketch or paint it in different styles.

Users can choose a watercolor feel, classic oil

painting aesthetic, or futuristic neon look.

Generative music and sound effect composition:

With a few voice commands or taps, you can create

unique musical pieces based on your mood or chosen

genre. AI can generate melodies, rhythms, and

harmonies.

Art from data or information art, in which data

visualization has become an art form, can be achieved

using AI Smartphones. Generative algorithms can be

fed with data, whether it is sensor information on

position, acceleration, or even sound (Seng, KP et al,

2023) to produce generative artwork.

Data-Driven Art: AI Smartphones are data-

collection powerhouses. Artists can utilize this by

incorporating data from sensors. Location data,

movement data, and even sounds can be used to

produce artwork (Li Q, 2018). This creates art that

reflects a user's environment or interaction.

Augmented Reality (AR) Integration: AR

overlays digital elements onto the real world using a

phone camera. This allows artists to create generative

art experiences that seamlessly blend the physical

world with digital effects. AI makes generative AR

easier owing to its capabilities, such as object

recognition and face and body tracking.

AI Smartphones: A Conceptual Review in Generative Arts

Accessibility and democratization for everybody.

AI Smartphones make generative art creation more

accessible than ever before. Anyone with a phone can

experiment and create generative art even without an

Internet connection, thus lowering the barrier to entry

for aspiring generative artists.

AI-powered Art Learning - AI smartphones can

analyze generative artworks and explain the

techniques and styles used. This could be a valuable

learning tool for aspiring generative artists.

Traditional art forms sometimes struggle to

captivate the younger generations. AI-generated art,

with its futuristic appeal, resonates with technology-

savvy audiences. AI smartphones attract young artists

and enthusiasts, inspiring them to experiment with

and create their own digital masterpieces.

5 LIMITATIONS

There are some limitations and drawbacks to using

AI-Powered Smartphones in creating generative art,

including homogenization, originality, copyright,

plagiarism, declining skills, and the cost of the

devices.

Outcome homogenization refers to the tendency

of AI models and systems to produce outputs that are

overly similar or uniform across various scenarios.

Homogenization is also very tangible in text

generated by AI, and this concern is similar to

homogenizing artistic styles and outcomes in the

generative arts.

Generative AI has limited originality because,

with readily available AI art generators, artists might

fall back on pre-programmed styles and prompts

(Galanter,2019). This will lead to the homogenization

of the artwork. AI algorithms often rely on existing

artwork for training data. This can lead to derivative

outputs that lack originality or sometimes lack of

tactility and emotional connection as compared to

traditional art forms.

Although AI offers exciting possibilities, it is

crucial to be aware of these drawbacks. The key lies

in finding a balance between utilizing AI as a tool and

preserving human elements in generative art. This

ensures originality and artistic control, and maintains

the value of generative art as a unique form of creative

expression.

The ease of AI art generation raises questions

about who the true artist is. The person using the app

or the AI behind it. The ownership and copyright

issues of AI-generated art are complex legal gray

areas. Who owns the rights? The user, app developer,

or dataset used for training Additionally, the

evaluation of AI-generated art compared to human-

created art can be challenging (Gangadharbatla H. ,

2021), even though most people will be unable to

differentiate between them (Lima et al., 2021).

The use of existing artwork in training data could

also lead to plagiarism if the AI output derivative

works violate copyright. Powerful AI models can

mimic artistic styles and blur the line between

inspiration and imitation. This raises issues such as

unintentional copying: because AI is trained on

massive datasets, it might unknowingly replicate

copyrighted works, raising copyright infringement

issues. AI art generation often involves prompts and

parameters; however, the final output can be

unpredictable. This limited the artist's control over the

final work.

The ability of AI smartphones to manipulate and

generate realistic images could be misused to create

deepfakes (Kietzmann J ,2021) (Kingra, 2023).

Manipulation and misinformation are public fears

about generative art. The ease with which AI can

generate convincing visuals makes it difficult to

distinguish real and fabricated con-tent. Deepfakes

can be incredibly convincing even for a trained eye.

This can erode trust in legitimate media sources and

in public figures. Malicious actors can create

deepfakes in politicians making inflammatory

statements, potentially swaying public opinion and

undermining democratic processes, or it can be used

to damage the reputations of businesses and

individuals.

Overreliance on AI smartphone tools can lead to

a decline in artistic skills such as composition, color

theory, technique, photography skills, and

videography skills. In other words, using an AI

smartphone also causes skill erosion for the user.

Research suggests that smartphone addiction is linked

to reduced brain activity and weaker connections

between brain regions during creative tasks (Li, Q.,

2023). The study found that people with a tendency

towards smartphone addiction showed lower activity

in the prefrontal cortex and temporal regions of the

brain than the control group, especially when trying

to come up with creative solutions under limitations.

This brain activity pattern is linked to a harder time to

overcome mental blocks and forming original ideas.

However, another study showed that mobile

phone use was positively related to creative ideation

among college students (Guan, Jinliang, et al. , 2024).

This study found that critical thinking skills acted as

mediators. In other words, when mobile phone use

stimulates critical thinking, it can lead to creative

ideas. This suggests that using phones for activities

ICCM 2024 - The International Conference on Creative Multimedia

that encourage analysis and problem-solving might

be beneficial for creative thinking.

Another study suggested that there is no clear

negative relationship between smartphone use and

creative thinking (Olson et. al, 2023). While some

initial studies showed weak negative correlations,

they were not replicated in larger and more di-verse

samples. Researchers suggest that the impact of

smartphone use on creativity might be more nuanced

and depend on how the phone is used.

Currently, the price of AI smartphones is

considered to be quite high and above the reach of

average users. It will take a few months or years

before it is considered an average affordable gadget

for the public. Analyst firm IDC predicts a surge in

next-generation AI smartphones by 2024 (IDC,

2024). The IDC estimated that nearly 170 million

units of AI smartphones will be shipped worldwide,

representing a significant jump from the 2023's 51

million and capturing almost 15% of the total

smartphone market by 2024. This trend is expected to

accelerate the use of AI smartphones by consumers.

The lack of transparency in data collection

practices can be a major concern among AI

smartphone users. One of the biggest hurdles in the

development of AI smartphones is the immense

amount of user data required to function effectively.

These data encompass everything from app usage

patterns and browsing history to location tracking,

voice recordings, and facial recognition data. Users

have the right to know what data are being collected,

how they are being used, and with whom they are

being shared. Vague privacy policies and hidden

data-collection processes can erode user trust. The

vast amount of personal data stored on AI

smartphones makes them prime targets for hackers.

Data breaches can expose sensitive information,

leading to identity theft, financial losses, and even

physical harm. Secure storage and robust encryption

protocols are crucial for safeguarding the user data.

Many AI features of smartphones are still under

development and may not be fully functional.

Features such as real-time language translation or

personalized recommendations may not work

flawlessly across all situations, causing user

dissatisfaction. Hackers may target the AI algorithms

themselves, manipulating them to generate false

information, controlling user behavior, or even

spreading misinformation. Robust security protocols

are crucial to ensure the integrity and reliability of AI

functions.

6 CONCLUSION

AI smartphones are expected to revolutionize

generative art and offer new methods for creativity

and expression. Despite challenges such as biases and

perceptions of AI-generated art, AI smartphones will

be the preferred device to replace current

smartphones in the near future. The ability to generate

art directly on a smartphone allows instant creation

and experimentation, fostering a more spontaneous

and mobile artistic practice. AI can simplify the

creation process by automating complex tasks and

offering intuitive interfaces, thus making generative

art more accessible to users with varying artistic

backgrounds.

This paper discussed the advantages and

disadvantages of AI smartphones from the

perspective of generating art. Further research and

exploration in this field are needed to shape the future

of art creation and appreciation using AI

smartphones. There is a need for more research on the

ethical implications of generative art and intellectual

property rights, especially in the context of AI

smartphones. Real-time collaboration allows multiple

users to collaborate on generating art in real time,

creating a more social and interactive experience.

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