HOW IS ARTIFICIAL INTELLIGENCE DISRUPTING THE CREATIVE DESIGNING INDUSTRY?
Artificial Intelligence is here to stay, and it has already made its way into The creative designing industry. AI can be used to help designers during their work, but should not be seen as a replacement for human creativity. while AI has great potential, humans still play an important role in creating innovative designs.
As artificial intelligence continues to develop, Designers and developers are beginning to discuss the future implications on their industry. They’re also discussing how AI might disrupt customer/product interactions in the near future. These new conversations will add an ongoing layer of interaction between consumers and businesses. However, design still has a crucial role in these interactions by being able to understand empathy and creativity from both sides of the equation-the consumer and brand.
8 Ways AI is Transforming the Creative Designing Industry
- AI Brings Optimization and Speed
AI’s increased speed and efficiency enable designers to produce designs more quickly and affordably. The speed with which AI can collect and analyse massive amounts of data and then provide design cues is primarily what gives it its power. The only thing left for a designer to do is choose the best designs from the various alternatives offered and then modify them to suit their needs. With the help of AI, effective designs can be quickly tested, and numerous design prototypes may be tested with people at once, speeding up and improving the process.
Additionally, AI is assisting designers in automating time-consuming daily duties like executing product localization and producing identical designs in numerous languages. AI can take care of tasks like choosing the best font and colours, freeing up the time and resources of designers so they can concentrate more on the overall design.
Additionally, AI is giving non-designers control over design. Small businesses may design their own business cards and websites for a fraction of the cost by using AI and some little technological skills. For large corporations, who will still need to hire qualified designers to create their material, this is still not practical.
2. AI’s Impact on Visual Art
In many respects, artificial intelligence is changing the world of visual art. It has been used to change existing works of art to produce living portraits, as it did for the Mona Lisa in one instance. Additionally, it has been used to produce likenesses that resemble actual people; examples of these can be found at ThisPersonDoesNotExist. In addition, AI has been utilised to produce original works of art by examining a database of works by previous masters. The “Portrait of Edmond de Belamy” was an AI-created piece of art that Christie’s sold at auction for $432,500, making it the first auction house to do so.
Ai-Da is the world’s first robot artist, and she just had her first solo show. She is outfitted with facial recognition technology and an AI-powered robotic arm. AI-Da is a case that is currently blurring the lines between what it means to be an artist.
3. AI’s Impact on Music Composition
AI has also been used to compose original music in a variety of genres. David Cope is a musician who has spent the last 30 years developing “Experiments in Musical Intelligence,” or EMI. His algorithms have been used to create a variety of original pieces of music in various genres. He also created Emily Howell, an AI that composes music in her own unique style. This is significant because the AI does not rely on mimicking the style of previous composers.
Sony’s Flow Machine and IBM’s Watson are two other tools used by YouTubers, music producers, and artists to create today’s hits. Alex Da Kid, a Grammy-nominated producer, used IBM Watson to help him with his creative process.
4. AI and Augmented Design
AI is making inroads into the commercial design field. Recently, French designer Philippe Starck and Autodesk, a company specialising in 3D software production, collaborated to create the world’s first AI-designed chair. This chair was manufactured and debuted at the Milan Design Week. The Chair Project is another project that investigates the possibility of human-machine collaboration.
5. AI and Graphic Design
Designers that use AI into their process may generate designs more quickly. The designer in this approach generates simple sketches and scans them into the computer. He then enters a series of settings that the software uses to generate a picture. AI also gives designers with ideas for image adjustments or upgrades. AI may be used to help create nearly anything, including logos, infographics, business cards, and posters, as well as cartoons and whiteboard films.
Many designers are also utilising AI to conduct laborious and time-consuming chores such as picking colours and fonts that work well for a certain purpose. The AI algorithm recommends the best ideas, and the designer can then cherry-pick the one that works best without having to spend numerous hours designing various concepts from start.
6. AI used to Tweak Graphical Content
Many organisations require the creation of a design element such as a logo, picture, or design that will be utilised for a variety of reasons. This is a time-consuming and difficult procedure that can consume a significant amount of a designer’s time. However, AI may be used to make these subtle modifications, and this method can be combined with other AI technologies to display certain visuals at specified times and locations.
Netflix is an excellent example of how a firm can utilise AI to help with design and suggestion. The firm displays different ads based on the user’s language, preferences, and geography on a regular basis. Nutella used an AI method to label 7 million bottles with a distinct yet similar design. Within a month, all of the bottles were gone. Their technology quickly generated the unique designs based on a database of colours and patterns, saving the organisation a significant amount of time and manual labour.
7. AI and UI Design
Incorporating AI into your user interface might be a smart place to start if you want to give your consumers with a more customised user experience. Alexa from Amazon and Netflix are two good examples of this method. Alexa communicates with consumers through speech and provides services with a human touch. Netflix always tailors the material it offers you depending on your watching history, language settings, and other preferences.
AI is excellent at gathering user input, processing it using algorithms, and presenting the findings in a customised and personalised interface. These interfaces might have different layouts, fonts, colours, information, and recommendations for different people based on a number of criteria.
8. AI and UX Design
Creating a high-quality and customised user experience (UX) may be hard and time-consuming, especially if done manually. Fortunately, AI can now be used to make UX designers’ lives simpler. AI technology may now save a UX designer a significant amount of time and work. The designer must provide a basic interface that the AI may utilise to tailor the client’s experience on the fly depending on the consumer data it already possesses. Designers may input the AI algorithm a variety of characteristics such as gender, age, and region to deliver personalised user experiences. Voice recognition is also a fantastic method to collect data, which UX designers may utilise to make the overall user experience more customised, faster, and convenient.
In the broader scheme of things, AI may assist designers in creating better, higher-performance goods that outperform the competitors. This is due to AI’s capacity to analyse and interpret massive volumes of data, which results in more tailored, and hence better, user experiences. AI can reveal the path to produce more conversions without the designers having to figure it all out manually, which is useful for UX designers trying to boost conversions.
