The Impact of AI on Design | Bài thảo luận tiếng anh thương mại
Artificial Intelligence (AI) refers to machines or software that can “think” and
“learn” like humans. It is able to analyze large amounts of data, recognize complex
patterns, and make decisions in ways that once required human intelligence. Tài liệu giúp bạn tham khảo, ôn tập và đạt kết quả cao. Mời đọc đón xem!
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THUONG MAI UNIVERSITY
FACULTY OF MARKETING ----- ----- DISCUSSION
MAJOR: BUSINESS ENGLISH 2
TOPIC: THE IMPACT OF ARTIFICIAL
INTELLIGENCE (AI) ON DESIGN Supervisor :
Dang Thi Khanh Ha Class : 251_ENTI3411_13 Group : 5
Ha Noi – 2025 TABLE OF CONTENT
1. Introduction.............................................................................................................6
2. How AI has changed design over time...................................................................6
2.1. Before AI.........................................................................................................6
2.2. Now with AI....................................................................................................7
2.3. Future..............................................................................................................8
3. AI in graphic and visual design:.............................................................................9
3.1. How AI Works in Visual Design:...................................................................9
3.2. Advantages of AI in Graphic and Visual Design:.........................................9
3.3. Disadvantages of AI in Graphic and Visual Design:..................................10
3.4. Conclusion.....................................................................................................10
4. AI in Product and Industrial Design....................................................................11
4.1. Advantages of AI in Product and Industrial Design..................................11
4.2. Disadvantages of AI in Product and Industrial Design..............................11
4.3 Conclusion......................................................................................................12
5. AI in web and app design (UX/UI design)...........................................................12
5.1. How AI Works in UX/UI Design..................................................................13
5.2. The advantages of using AI in UX/UI design..............................................13
5.3. The disadvantages of AI in designing web/app...........................................13
6. Problems and Challenges of AI in Design...........................................................14
7. Conclusion and future solutions for AI in design...............................................15 1
MEETING MINUTES - GROUP 5
Location: Zoom Meeting – Online
Meeting Time: 21h30 - 08/09/2025
Attendees: Phạm Đỗ Bạch Kim, Nguyễn Thị Hương Lan, Lại Phan Ngọc Linh,
Nguyễn Hoàng Khánh Linh, Trần Thị Khánh Linh, Nguyễn Huyền Ly, Nguyễn Xuân Mai.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Agenda and notes: 1. Topic Selection
● Members proposed various topics related to AI and its impact on designs.
● After discussion, the group agreed on "The impact of Artificial
Intelligence (AI) on design" due to its relevance and practical significance. 2. Outline Development 3. Task Allocation Task Member Deadline
Introduction – What is AI and why it matters in Trần Thị Khánh Linh 23h 13/9 design
How AI has changed design over time Nguyễn Xuân Mai 23h 13/9
AI in graphic and visual design Phan Đỗ Bạch Kim 23h 13/9
AI in product and industrial design Nguyễn Huyền Ly 23h 13/9
AI in web and app design (UX/UI design) Nguyễn Hoàng Khánh 23h 13/9 Linh
Problems and challenges of AI in design Lại Phan Ngọc Linh 23h 13/9
Conclusion and future solutions for AI in design Nguyễn Thị Hương Lan 23h 13/9 Word Nguyễn Huyền Ly 23h 20/9 Nguyễn Xuân Mai Slide All members 23h 24/9 Presenters All members 2 Meeting Conclusion
● The group finalized the topic, outline, and task distribution.
● All members are responsible for completing their tasks on time for review and final submission.
● The meeting ended at 23h – 08/09/2025 Secretary Group Leader Nguyễn Thị Hương Lan Phạm Đỗ Bạch Kim 3
MEMBERS EVALUATION TABLE AND DISCUSSION POINTS NO Student code Full name Task
Completion Level Score Outline of the paper Phạm Đỗ Bạch and detailed content Actively 29 23D120021 Kim of part 3, create participated, A+ (Nhóm trưởng) slides. completed on time. Nguyễn Thị Detailed content of Actively 30 23D120076 Hương Lan part 7, create slides. participated, A+ (Thư ký) completed on time. Actively 31 23D120125 Lại Phan Ngọc Detailed content of Linh
part 6, create slides. participated, A completed on time. Actively 32 23D120172 Nguyễn Hoàng Detailed content of participated, A Khánh Linh
part 5, create slides. completed on time.
33 23D120127 Trần Thị Khánh Detailed content of Actively Linh
part 1, create slides. participated, A completed on time. Detailed content of 34 23D120174 Nguyễn Huyền
part 4, draft and edit Actively Ly Word document, participated, A+ completed on time. create slides. Detailed content of 35 23D120175 Nguyễn Xuân
part 2, draft and edit Actively Mai Word document, participated, A+ create slides. completed on time. Group Leader Phạm Đỗ Bạch Kim 4 THANK YOU
Before entering the discussion, our group of 5 would like to send our
sincere thanks to the Faculty of Marketing, University of Commerce. In
particular, we would like to express our deep gratitude to lecturer Ms. Đặng Thị
Khánh Hà for imparting valuable knowledge to us throughout our study period.
During our time participating in her class, we gained a lot of useful knowledge
and developed a spirit of effective and serious learning. This will definitely be
valuable knowledge, a tool for us to step forward in the future.
The Business English 2 module is an extremely useful and highly practical
subject, providing sufficient knowledge associated with the practical needs of
students. However, since our knowledge is still limited and the ability to absorb
real-life applications is sometimes confusing, despite our best efforts, it is
difficult to avoid shortcomings and inaccuracies in our discussion. We hope you
will review and provide comments to help us improve our discussion further. We sincerely thank you! 5 1. Introduction
Artificial Intelligence (AI) refers to machines or software that can “think” and
“learn” like humans. It is able to analyze large amounts of data, recognize complex
patterns, and make decisions in ways that once required human intelligence. In recent
years, AI has developed very quickly and has become an essential part of daily life.
People interact with AI every day, sometimes without even realizing it. For example, it
appears in smartphones through voice assistants that respond to questions, in social
media through personalized content that keeps users engaged, in online shopping
through product recommendations that predict customer needs, and in education
through smart learning platforms that adjust to students’ abilities. These examples
show how AI is not just a future technology, but something already shaping our routines and decisions.
In the field of design, AI is also creating major changes. It is no longer limited
to simple digital tools but has evolved into powerful systems that can support
creativity in many ways. Designers can now use AI to generate ideas more quickly,
test different layouts, or choose color palettes that match user preferences. Some tools
can even complete artworks, advertisements, or product concepts in just a few
seconds. This allows designers to save time, reduce repetitive tasks, and focus on
higher-level creative thinking. At the same time, AI makes design more accessible for
people without professional training, enabling businesses and individuals to create
logos, posters, or marketing materials on their own.
However, this new reality also raises important concerns. The ability of AI to
automatically create logos, posters, and product prototypes with little human effort
leads to debates about originality and authenticity in design. If companies and
individuals rely too much on AI, there is a risk that creativity may become less unique,
and professional designers may face fewer job opportunities. This has caused
discussions not only in the design industry but also in education, business, and ethics.
Some people view AI as a helpful assistant that empowers human creativity, while
others fear that it may eventually replace the role of human designers altogether.
This situation brings us to the central question: will AI mainly act as a
supportive tool that helps designers, or will it one day replace them? The purpose of
this presentation is to explore both sides of this issue. We will look at the positive
impacts of AI, such as speed, innovation, cost reduction, and wider accessibility, as
well as the negative impacts, such as dependence, reduced originality, and possible
risks to employment. By examining both opportunities and challenges, we hope to
better understand how AI is shaping the future of design and what it means for the role
of human creativity in a rapidly changing world. 6
2. How AI has changed design over time 2.1. Before AI
Before AI and modern digital tools, almost all design work was done by hand.
Designers used simple tools like rulers, scissors, knives, glue, and large boards to put
their ideas together. Every picture, headline, or block of text had to be cut out and
carefully placed on paper. If something was wrong, the designer had to cut it again and
fix it. This took a lot of time and energy because there was no quick way to undo
mistakes or make fast changes. For example, in the 1970s, magazine designers often
had to redo a whole page if an editor wanted a small change, like moving a sentence or
a photo. They also used a slow typesetting process, where each letter had to be
arranged by hand and checked carefully before printing. This shows that design in the
past was not only about being creative but also about being patient and doing a lot of
detailed manual work. In short, before AI made design faster and easier, designers had
to spend much more time and effort on every project.
Another important feature of design before AI was the strong reliance on
human creativity and skill. Since there were no digital programs to generate layouts or
suggest design options, every idea had to come directly from the designer’s
imagination. Artists often sketched out concepts by hand, experimented with colours
using paint or markers, and developed original lettering styles to fit each project. For
example, advertising posters in the mid-20th century often used hand-drawn
illustrations and custom typography, which reflected the personal style of the designer
rather than a computer-generated template. This required not only artistic talent but
also years of practice to master techniques like drawing, shading, and composition.
The absence of automation meant that creativity and craftsmanship were the most
valuable tools a designer could have. In short, before the arrival of AI, design was a
profession where human imagination and technical artistry shaped every finished product.
2.2. Now with AI
With the rise of AI, design has become much faster and cheaper compared to
the past. In earlier times, one simple correction could take hours of manual work, but
today AI-powered tools can make hundreds of edits in seconds. Designers no longer
need to spend long hours cutting, arranging, or redoing layouts by hand because
software can instantly resize, recolour, or rearrange design elements with just one
click. This has greatly reduced the cost of design projects, since businesses do not need
to hire large teams or pay for long working hours to get a high-quality result. For
example, Adobe Firefly can quickly generate background images, adjust lighting, or
change styles automatically, saving professionals hours of editing time. Similarly,
Canva AI allows small businesses to create professional-looking posters, social media
graphics, and logos without paying expensive design fees. In the past, this level of
work required trained experts, but now it can be done quickly and at a fraction of the 7
cost. In short, AI has made design more efficient and affordable, changing it from a
slow, resource-heavy process into something almost instant.
Another major change is that AI has opened the world of design to non-
professionals. In the past, creating a professional-quality design required years of
training in drawing, typography, and software, but now many AI tools allow beginners
to create impressive results in just a few minutes. Programs such as Canva AI,
ChatGPT, Google Gemini, MidJourney, and Adobe Firefly are designed with simple
interfaces and powerful features that guide users step by step. For example,
MidJourney can turn a short written prompt like “a futuristic city at sunset” into a
detailed and realistic digital illustration, while Canva AI can suggest matching fonts,
layouts, and colour schemes for a presentation or social media post. Even people with
no design background—like students preparing school projects or small business
owners creating advertisements—can now produce creative and professional-looking
work. This accessibility has democratized design by removing barriers such as cost,
skill level, and time. Unlike before, when design was a specialised profession, today
anyone can be a designer with the help of AI.
Compared to the manual and time-consuming methods of the past, AI has
transformed design into a process that is faster, cheaper, and more inclusive. What
once required highly trained professionals and many hours of labor can now be
completed by almost anyone in just a few minutes. This shift shows how AI has not
only changed the tools of design but also reshaped who can participate in the creative process. 2.3. Future
In the future, design is expected to become a true collaboration between humans
and AI. Instead of replacing designers, AI will take over repetitive and technical tasks
such as resizing, formatting, or generating quick drafts, while humans will focus on
developing creative ideas and storytelling. This partnership will allow designers to
spend more time on imagination and originality, since AI will handle the routine work
in the background. For example, a designer might ask an AI tool to generate ten
different versions of a poster layout, but then select the best one and refine it according
to their vision. By combining human creativity with machine speed, the design process
will become both more efficient and more innovative.
Even as AI becomes more advanced, experts agree that humans will still play
the leading role in design. AI will act like an assistant—suggesting layouts, generating
images, or offering design improvements—but the final decisions will remain in
human hands. This is because creativity involves emotion, culture, and personal
meaning, which machines cannot fully replicate. For instance, an AI might produce
dozens of logo options, but only a human designer can choose the one that best
represents a company’s values and identity. In this way, AI will be a powerful tool, but
human judgment, cultural understanding, and artistic vision will continue to guide the creative process. 8
Looking ahead, the future of design will not be about humans versus machines,
but about collaboration. AI will serve as a helpful assistant, speeding up routine tasks
and generating possibilities, while human designers will provide the creativity,
meaning, and final decision-making that technology cannot replace. This balance will
ensure that design remains both innovative and deeply human.
3. AI in graphic and visual design:
A rtifi cial Intel ligen ce (AI) has dramatic ally alter ed the field of grap hic and
visu al design. Trad ition ally, the desig n process deman ded signif icant time and effor t,
involvi ng multiple stag es such as conc eptua lizat ion, draft ing, editi ng, and finaliz ation .
With the intr oduct ion of AI-based desi gn tools, this proce ss has accelera ted
dramat icall y. By tran sform ing simple textua l descript ions into compl ete images , AI
enabl es the creation of poster s, logos, and illust ratio ns within minut es, thereb y
expandin g design access ibili ty beyond profe ssion al artists .
3.1. How AI Works in Visual Design:
The operat ional mech anism of AI in visua l design is based on gene rativ e
models traine d on large data sets. User s provide text promp ts (for example , “Draw a
red car under the sunset” ), and systems such as Chat GPT, Adobe Firefly , or Canva AI
genera te multipl e variatio ns of the reque sted image . These variati ons often encom pass
diver se artisti c styles, inclu ding reali sm, minima lism, and futur ism. This capab ility
demo nstra tes how AI can effic ientl y convert abstr act concep ts into tangibl e outputs,
providin g users with a wide selec tion of design optio ns without requ iring adva nced techn ical exper tise..
3.2. Advantages of AI in Graphic and Visual Design:
● Saves a lot of time:
A signific ant advant age of AI in graphic and visua l design is its abil ity to save
consider able time. Trad ition al design typic ally invol ves a leng thy proces s
encompas sing idea generati on, sketch ing drafts , editing, and final izing the produ ct.
With AI, this workflo w can be shorte ned to mere minutes. For insta nce, Nike has
utiliz ed AI-gene rated visu als in portions of their socia l media campaig ns to crea te
modern and trendy imag es faster than tradi tiona l methods. This effi cienc y allows
busine sses to respond quic ker to new even ts, cultur al trends, and marketin g needs,
which is a cruci al factor in today’s high ly competi tive marke t.
● Produces many different ideas quickly:
Ano ther key benefi t of AI in grap hic and visual desig n is its capaci ty to
gene rate a wide range of idea s rapidly. AI tools can produc e dozens of design
variat ions in a singl e session, offe ring desig ners a broad array of possi bilit ies. For
exampl e, if a marketi ng team request s “logo ideas for a coffe e shop,” the AI can
produ ce twenty to thirty diffe rent style s, from minimal istic and moder n to vinta ge and
playful. This capa bilit y assists desig ners in overcom ing creati ve blocks and 9
discov ering new direc tions . Even when the AI-g enera ted output s are not direc tly used,
they still offe r valuable insp irati on and serve as a startin g point for human creativ ity.
● Helps small businesses and students:
AI also plays a critica l role in suppo rting smal l business es and students who
may not have access to profess ional desi gn service s. Many small compan ies cannot
affo rd to hire agen cies or full-ti me designe rs, yet they still requir e promotio nal
materi als. Tools like Canva AI enab le them to inde pende ntly creat e professi onal-
looki ng posters , banners, and socia l media content . For inst ance, a small bakery can
desig n an attra ctive flye r for a new product launc h in just ten minute s using Canva AI,
saving both time and money. Stud ents also benef it, as they can use the same tools to
prepare scho ol project s or presenta tions with out additi onal cost. In this way, AI
democrat izes desig n by makin g high-qua lity visua l content acces sible to a wide r audience.
3.3. Disadvantages of AI in Graphic and Visual Design:
● Designs may look similar to each other:
A notable draw back of AI-gene rated desi gn is the tende ncy for outputs to
resemble each othe r. Because AI system s are trai ned on vast datasets gath ered from
the intern et, they often repro duce preva lent patte rns and visual eleme nts alread y in
exist ence. Cons equen tly, many AI-ge nerat ed logos or posters may look alike or
overlap with exis ting brand iden titie s. This raises conce rns about origi nalit y and can
be problem atic for compan ies seekin g to build a unique image in a competit ive market .
Without human refi nemen t, the risk of repet ition and a lack of disti nctio n remains high.
● Sometimes strange or low-quality results:
Ano ther limit ation stem s from the inco nsist ent qualit y of AI outputs . While AI
can gener ate result s quickly, it does not fully grasp the meanin g behind user
instru ction s. Consequ ently , it frequ ently prod uces unrea listi c or flawe d visuals. A
well-kn own exampl e is the issue of “AI hands,” where imag e generato rs like
MidJour ney or DALL·E create huma n figures with six finger s or disto rted limbs .
Similarl y, when tasked with produ cing text withi n logos or post ers, AI often genera tes
unread able or random lette rs. These error s mean that AI-gener ated desig ns cannot be
used immediat ely and require addi tiona l time for huma n correcti on, thereb y reducing some of the efficie ncy gains.
● Lack of human feeling or personal style:
Fina lly, AI lacks the capacit y to captu re human emotio n, cultura l depth, and
persona l style. Art and design are not merely techni cal practi ces but also forms of
expressi on that reflect cont ext, ident ity, and storyt ellin g. While AI can succe ssful ly
imitate an artist ic style, it cannot fully inte rpret the symbo lic or emotiona l meaning
behin d it. For examp le, an AI might gene rate a visually appe aling post er for a
tradit ional cult ural festi val but fail to incl ude the key symbols or narrati ves that carry 10
deep cultu ral value. As a resu lt, the product may appea r polished yet feel super ficia l,
lacking the authe ntici ty and emotiona l resonanc e of human -crea ted work. 3.4. Conclusion
AI in graphic and visua l design is a powerf ul assista nt. It saves time, genera tes
a wide rang e of ideas , and open s access to design for people who previo usly could not
affor d it. Howe ver, it is not perfe ct: result s may be repetiti ve, occasi onall y erroneou s,
and frequent ly lack cultura l depth or emot ional valu e. The best way to use AI is to
consider it a part ner: allow AI to handle fast and repetit ive tasks, whil e human
designe rs add original ity, emoti on, and cultura l meaning to make the design truly valua ble.
4. AI in Product and Industrial Design
AI increasingly impacts product and industrial design by transforming how
businesses create, test, and launch ideas. It accelerates workflows, streamlines
processes, and makes decisions more data-driven. While AI brings opportunities for
innovation, it also presents challenges that must be addressed to ensure creativity and
human input remain vital in the design process.
4.1. Advantages of AI in Product and Industrial Design
A major benefit of AI is its ability to generate 3D models. Previously,
companies had to build physical prototypes, which consumed time and money. AI-
driven virtual modeling lets designers test shapes, colors, and features before
production, making the process faster and more cost-effective. This flexibility
encourages creativity while reducing waste in early design phases, showing how AI
improves efficiency and supports sustainable practices in product development.
In addition, AI-powered simulations allow businesses to trial product ideas
virtually before real production. These tools test durability, safety, and functionality
under different conditions, helping detect flaws early and avoid expensive mistakes.
For example, furniture companies can simulate how materials hold weight over time.
This approach reduces risks, shortens development cycles, and boosts confidence,
especially in industries like automotive or aerospace, where safety and reliability are crucial for market success.
Another strength lies in AI’s ability to predict consumer demand through the
analysis of purchase histories, social media activity, and broader market trends. By
identifying patterns, companies can design products that align with customer
preferences and future needs. For instance, recognizing the growing interest in
sustainable materials allows firms to focus on eco-friendly designs. This predictive
capacity increases the likelihood of commercial success and offers a strategic
advantage by enabling businesses to stay ahead of shifting market expectations.
The above points are well illustrated by Tesla, which has integrated AI across
multiple aspects of its product design. The company uses AI for 3D modeling, virtual 11
testing, and analyzing customer data to forecast demand. These practices reduce
reliance on physical prototypes, saving time and money while improving quality.
Furthermore, AI has guided the development of innovations such as autonomous
driving and extended battery life, showing how efficiency, risk reduction, and market
knowledge can be combined to support practical yet forward-looking design strategies.
4.2. Disadvantages of AI in Product and Industrial Design
Nevertheless, alongside these benefits, it is essential to acknowledge AI’s
limitations. Technology may be powerful, but it is not without flaws. Excessive
reliance on AI risks diminishing creativity, restricting originality, and undermining the
role of human designers. Addressing these concerns ensures that AI remains a
supportive tool rather than a replacement, preserving the value of human expertise in the design process.
A key limitation is AI’s dependence on data rather than imagination. Trained to
identify existing patterns, AI often struggles to generate groundbreaking or surprising
concepts. Human creativity, however, arises from intuition, experience, and the ability
to connect unrelated ideas. Many historical product innovations resulted from such
unique thinking, unconstrained by past trends. Overreliance on AI may therefore limit
innovation and prevent companies from surprising and delighting consumers with fresh and original designs.
Another major concern involves job security for traditional designers. As AI
automates tasks such as modeling, testing, and even idea generation, the need for
human labor decreases. Skilled designers, whose creativity and craftsmanship
contribute significantly to brand identity, risk losing their roles. While AI enhances
efficiency, heavy dependence on it may devalue human knowledge and threaten
workforce sustainability, raising ethical and strategic issues for businesses seeking to
balance innovation with employee well-being.
These drawbacks are exemplified by Adidas’ Speedfactory project, which used
AI and automation to create shoes with unmatched speed and efficiency. However, the
reliance on algorithms resulted in designs driven mainly by data, lacking artistic and
cultural depth. The automation also reduced the need for traditional designers, leading
to job losses and a decline in craftsmanship. Eventually, Adidas scaled back the
initiative, underlining the risks of overusing AI and the need to balance efficiency with creativity and human input. 4.3 Conclusion
In conclusion, AI presents vast opportunities in product and industrial design by
optimizing processes, reducing risks, and anticipating market demand. However,
excessive dependence on this technology may undermine creativity and the essential
role of human expertise. To achieve the best results, AI should be used as a supportive
tool that empowers designers rather than replaces them. Only by combining the 12
analytical strength of AI with human imagination can companies create products that
are efficient, innovative, and meaningful to consumers.
5. AI in web and app design (UX/UI design)
Artificial Intelligence (AI) has become a powerful force in shaping modern web
and app design, especially in the fields of UX and UI. UX, or User Experience, is
concerned with how people feel when interacting with digital platforms, while UI, or
User Interface, focuses on what they actually see, such as buttons, colors, and menus.
By analyzing how people click, scroll, and purchase, AI can suggest improvements
that make websites and applications both attractive and functional. This combination
of data-driven insights and design elements is changing the way users interact with technology.
5.1. How AI Works in UX/UI Design
AI works in UX/UI design by collecting and analyzing large amounts of user
data to understand patterns and behaviors. It uses this information to predict what users
might want next and suggests design improvements automatically. For example, AI
heatmaps can show where users click most on a webpage, helping designers place
important buttons in the right spot. Similarly, recommendation systems in apps like
Spotify or YouTube analyze past interactions to adjust the interface and deliver more personalized experiences.
5.2. The advantages of using AI in UX/UI design
One major advantage of AI in design is its ability to analyze user behavior. It
can record patterns such as where people spend the most time, what sections they
avoid, or at what point they leave a website. This data allows designers to remove
confusing features and highlight the most engaging ones. For example, if users
consistently leave during the checkout process, AI can recommend adjustments to
make payment steps faster and more intuitive.
Another strength of AI is personalization, which helps users feel that the app or
website was designed specifically for them. By tracking browsing history, purchase
records, or reading habits, AI can tailor content and recommendations to match
individual preferences. This makes the experience more relevant and enjoyable for
users. For instance, Netflix suggests movies and shows based on past viewing, and e-
commerce platforms like Amazon recommend products similar to what customers previously bought.
In addition, AI greatly improves navigation by making digital interactions
smoother and more efficient. It can predict user needs and guide them directly to their
goals, reducing unnecessary clicks. Tools such as chatbots and voice assistants
demonstrate this ability by answering questions instantly and offering shortcuts. For
example, a banking app with an AI-powered chatbot can help users check balances or
transfer money within seconds, instead of forcing them to search through menus. 13
5.3. The disadvantages of AI in designing web/app
Despite these benefits, AI also introduces certain drawbacks, starting with
reduced creativity in design. Because many platforms rely on the same AI
optimization methods, they often end up looking similar. This lack of originality can
weaken brand identity and make it harder for users to distinguish between apps. For
example, several e-commerce websites now share nearly identical layouts, giving
customers little reason to prefer one over another.
Another disadvantage is the problem of over-personalization, which can limit
user choices. When AI focuses too narrowly on what it thinks users want, it prevents
them from discovering new or unexpected options. This creates a “filter bubble” where
people are exposed only to familiar ideas or products. For instance, a music app that
only recommends songs in the same genre may stop listeners from exploring new artists or styles.
Finally, AI systems are not flawless, and mistakes can lead to negative user
experiences. If AI misinterprets behavior, it may provide irrelevant or even annoying
suggestions. This can frustrate users and reduce trust in the platform. A clear example
is when shopping websites recommend items a user has already purchased or show ads
that are completely unrelated to their interests.
In conclusion, AI in UX and UI design brings significant advantages, including
behavior analysis, personalization, and improved navigation. However, it also creates
challenges such as reduced creativity, limited options, and the risk of errors. To make
the most of AI, designers should combine its efficiency with human creativity and
empathy. This balance ensures that web and app designs remain not only functional
and smart but also unique and engaging.
6. Problems and Challenges of AI in Design
The application of Artificial Intelligence in design has brought remarkable
benefits, yet it also presents numerous problems and challenges that must be
addressed. As AI becomes more advanced and accessible, questions arise regarding
ownership, employment, quality, ethics, and the very nature of human creativity.
These challenges demonstrate that the integration of AI into design is not simply a
matter of technological progress, but also one of legal, social, and cultural responsibility.
To begin with, one of the most pressing issues concerns copyright and
ownership. AI systems are capable of generating designs based on massive datasets,
but it is still unclear who should be recognized as the rightful owner of these creations.
Should it be the user who provides the input, the developers who build the system, or
the company that operates it? The lack of clear legal frameworks in most countries
makes it difficult to protect intellectual property, and disputes over originality are
likely to increase as AI-generated designs become more widespread. 14
Moreover, job risks for designers also represent a significant challenge. Since
AI can produce logos, layouts, and product concepts quickly and at low cost, many
tasks that once required human effort are now automated. This creates economic
advantages for companies but raises concerns for designers, especially those at entry
level, who may face job insecurity or even unemployment. Although AI may also
create new opportunities, the transition is not without risks and uncertainties for the workforce.
In addition, the integration of AI brings potential quality and practicality risks.
While AI-generated designs may appear visually appealing, they are not always
realistic, functional, or technically correct. For instance, architectural models produced
by AI may overlook essential safety requirements, and furniture designs might be
impossible to manufacture. Without human expertise to evaluate and refine these
outputs, organizations risk financial losses and potential harm to users.
Another important challenge lies in ethical and creative concerns. True
creativity is rooted in human imagination, culture, and emotion—qualities that AI
cannot fully replicate. If the design industry becomes dominated by machine-generated
works, originality and authenticity may gradually be replaced by homogenized and
repetitive patterns. Furthermore, because AI systems learn from existing data, they
may unintentionally copy or imitate styles without permission, raising issues of plagiarism and fairness.
Finally, there is the danger of overdependence on AI. If designers rely too
heavily on these tools, they risk losing their creative independence and problem-
solving skills. Instead of being innovators, they could become passive editors of
machine-generated content. This not only limits individual growth but also threatens
the richness and diversity of design as a whole. The key lies in maintaining a healthy
balance: treating AI as a supportive tool that assists and inspires, rather than as a
substitute for human imagination.
In conclusion, while AI undoubtedly opens new horizons for design, it also
brings with it profound problems and challenges. From unsettled copyright laws and
job insecurity to questions of quality, ethics, and dependence, these issues highlight
the limitations of relying solely on technology. For AI to truly benefit the design
industry, it must be integrated thoughtfully and responsibly, with human creativity
remaining at the core. Only in this way can AI serve as a source of inspiration rather
than a threat to the essence of design.
7. Conclusion and future solutions for AI in design
Artificial Intelligence (AI) is changing the design industry in many ways. It can
help designers generate ideas quickly, save time, and do repetitive tasks. This allows
designers to focus more on creativity, emotions, and making designs meaningful.
However, AI cannot replace human intuition, cultural understanding, or ethical
judgment. Designers bring experience, taste, and a sense of context that AI does not
have. Therefore, the main point is that AI should be a tool to support human creativity, 15
not replace it. The best results happen when AI’s speed and efficiency work together
with human imagination, creating designs that are both practical and meaningful.
To use AI effectively while keeping human creativity, the following solutions are important:
● Treat AI as a supportive tool, not the decision-maker
Designers should always stay in control of the creative process. AI can suggest
ideas, drafts, or variations, but humans must decide which ideas to keep and how to
improve them. For example, Adobe Sensei can generate different layout options for a
website, but the designer chooses the one that fits the brand’s style and audience
expectations. This ensures AI enhances productivity without replacing personal creativity.
● Establish clear copyright and intellectual property rules
Clear rules are necessary to define ownership of AI-generated designs. Both the
human designer and the AI tool should receive proper credit. For instance, when using
MidJourney to create concept art, the designer’s creative input should be recognized,
while AI is acknowledged as a supportive tool. Clear rules protect designers’ rights
and encourage responsible use of AI.
● Address job risks through AI education
Instead of fearing AI, designers should learn how to use it. Schools and
companies can offer training programs on AI tools, such as Canva AI or Adobe
Firefly. For example, a design student trained in AI-assisted tools can complete
projects faster and improve quality. Learning AI skills reduces fear of job loss and
helps designers stay competitive in an AI-driven industry.
● Check AI outputs carefully
AI results are not always correct, suitable, or high-quality. Humans must check
all outputs carefully before final use. For example, architects using Autodesk
generative design review AI-suggested structures for safety, style, and feasibility.
Human evaluation ensures the final design meets professional standards and project goals.
● Use AI ethically and responsibly
Designers must avoid biased, offensive, or harmful outputs. If an AI tool
produces stereotypes or inappropriate content, humans should intervene. For instance,
when designing advertising visuals, designers must check AI suggestions to ensure
inclusivity and cultural respect. Responsible AI use maintains trust and keeps creativity fair.
● Balance AI tools with traditional design practices
Designers should continue practicing traditional methods alongside AI-assisted
work. Hand sketching, physical prototyping, or manual modeling strengthens skills
that AI cannot replace. For example, combining hand-drawn sketches with AI-
generated 3D models can produce more thoughtful and refined designs. This balance
prevents over-reliance on AI and keeps human creativity central. 16
In conclusion, the future of design is humans and AI working together. Using
AI as a support tool, following clear rules, and keeping traditional skills help designers
work faster, try more ideas, and create better, meaningful designs. AI supports
creativity, but human vision and judgment remain at the center of design. 17 CONCLUSION
Artificial Intelligence (AI) has transformed the design industry by making it
faster, more efficient, and widely accessible. It helps designers generate ideas quickly,
automate repetitive tasks, and produce professional-quality work at a lower cost. In
areas like graphic design, product development, and UX/UI design, AI streamlines
workflows, predicts trends, and offers personalized experiences, benefiting both
professionals and small businesses.
However, AI also brings challenges such as reduced originality, copyright
disputes, and job insecurity. AI-generated designs can feel repetitive or lack emotional
and cultural depth, while over-reliance on technology risks weakening human
creativity and problem-solving skills.
To address these issues, AI should be used as a supportive tool rather than a
replacement for human designers. With clear rules, proper training, and human
oversight, AI and human creativity can work together to produce designs that are
efficient, meaningful, and innovative. 18 DISCUSSION QUESTIONS
Question 1: Do you often use AI?
Answer: Yes, I often use AI in my daily life. I usually use it for studying, searching for
information, and translating documents. It also helps me save time, improve
efficiency, and makes learning more convenient.
Question 2: What problem can happen if designers depend too much on AI?
Answer: If designers depend too much on AI, they may lose their own creativity and
problem-solving skills. The designs could become too similar, less original, and not
show personal style. In the long term, this can make the work less interesting for
clients and reduce the value of human designers. Finally, it may even harm their career
because companies will prefer creative people, not only those who can use AI tools
Question 3: Do you think AI can really replace human designers?
Answer: I don’t think so. AI can create posters, logos, and pictures very quickly, and
this is a big advantage. But design is not only about speed - it’s also about originality,
emotions, and cultural meaning. These are things that AI cannot fully understand.
That’s why human designers are still very important. The best result happens when
humans and AI work together: AI can provide fast ideas, while humans add creativity and personal style.
Question 4: How can designers ensure originality and creativity when using AI - generated designs?
Answer: Designers can ensure originality by not relying completely on AI outputs.
Instead they can treat AI as a starting point for ideas and then add their personal style,
cultural understanding, and creativity. For example, AI might generate a logo draft but
the designer should refine it to reflect the brand’s unique identity. In this way, AI
saves time but the final product still carries human originality and creativity.
Question 5: Are there any disadvantages or challenges of AI in design?
Answer: AI in design has some challenges, such as the risk of over-reliance, which can
limit creativity. It also raises copyright and ethical concerns, since AI often uses
existing works to generate new content. Moreover, AI lacks emotional depth, so its
designs may feel less authentic. Some fear it could replace jobs, but it is more of a
support tool than a full replacement for designers. 19
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