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Creativity and Environment Portfolio Assignment Sample

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Introduction: Creativity and Environment Portfolio

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Readings of creativity

Creativity is very important nowadays which develops the various kinds of reading system. All are done with the help of artificial intelligence and generate a theory for great understanding. An article is always based on an “ongoing collaboration between Simon Das and Matthew Kershaw, MD of Content at Iris Worldwide”. In this article, the researcher talks about the painting, and this painting sold for around $432,000 (Das et al. 2020). The original estimate of this painting is $7000 to $10000. Slightly blurry, sort of examining like an “Old Master and oddly positioned on the canvas”, the print was marked “min G max D x [log (D(x))] + z [log(1 – D (G(z)))]” – that was a hint to its origin.

Defining creative output

Creative output in the field of AI alludes to the age of original and innovative thoughts, designs, arrangements, or imaginative articulations using man-made reasoning advances. It envelops the use of AI calculations, machine learning models, and brain organizations to make something novel and imaginative. AI can add to creative output in different domains like visual expressions, music, writing, plan, and that's only the tip of the iceberg. In visual expressions, AI calculations can create remarkable and outwardly appealing pictures, paintings, or models by analyzing examples and styles from existing fine arts. In music, AI can make original tunes, and harmonies, and even produce verses, mimicking the styles of famous authors or creating new types altogether (Cain et al. 2019). In writing, AI can help essayists by suggesting plotlines, generating character profiles, or even independently producing composed content. AI-controlled plan instruments can assist with creating esthetically pleasing illustrations, UIs, or architectural designs, combining human creativity with algorithmic assistance. The research discussed in this paper is called “Creativity And Artificial Intelligence”, now it is 20 years old and examined various innovative ideas by their effects. According to the author, various creative things are presented such as valuable and surprising and novel. The researcher defines various outcomes and creativities that are very valuable things.

Computers as creative

Computer creativity is the application of “computer technologies” to study, emulate, increase human creativity, and stimulate. The machine creative is the odd machining system that added the human frame and also the human cultural frame. For any answer, the computer never tell why it is important the computer only provided the solution to the problems. For create more creative things.

Computers have increasingly shown their capacity to be creative in the field of AI. Through refined calculations, machine learning models, and brain organizations, computers can create original and imaginative results across different domains. In the domain of visual expressions, computers can independently create outwardly stunning pictures, paintings, or even 3D figures. They can examine existing fine art, learn examples and styles, and produce novel manifestations that have esthetic allure and creative legitimacy. Computers can form music by leveraging AI procedures. They can produce songs, harmonies, and rhythms, mimicking the styles of prestigious arrangers or in any event, developing novel melodic sorts. Computers are such as those elephants who’ve been trained to paint at a tea party. They’re just emulating human behavior or accomplishing what they’re told.

In critical research, computers can help authors by providing plot ideas, and character profiles, or generating whole accounts in light of existing texts. They can comprehend and impersonate writing styles to make lucid and engaging composed content. Besides, computers add to critical thinking inventiveness. They can produce innovative answers for complex difficulties by processing and analyzing immense measures of information, identifying designs, and proposing novel methodologies.

System-based creativity

The system-based creativity is very important because nowadays, human beings are dependent on the system. They tried to solve each and every problem with the help of software systems. For that reason, the computer is working like a human mind and provide all kind of solution.

System-based creativity in the field of artificial intelligence alludes to the capacity of computer-based intelligence systems to produce imaginative results autonomously, without direct human mediation. These systems use advanced algorithms, machine learning models, and neural networks to analyze patterns, gain from existing information, and create unique and imaginative thoughts, plans, or arrangements. Creativity is as much a “cultural and social” as it is a psychological event that the researcher calls creativity is not the “product of single individuals”. Whether in the space of visual expressions, music, writing, or critical thinking, simulated intelligence systems can show imaginative reasoning and produce yields that have creative legitimacy or exhibit novel ways to deal with complex difficulties. System-based creativity in man-made intelligence addresses a change in outlook on how imaginative undertakings can be sought after, obscuring the line between human and machine-produced yields.

System Based creativity

Figure 1: System Based creativity

(Source: Self-created)

Transformational creativity – the big ‘c’

The market Boden classified three kinds of Combinational, creativity, Transformational, and exploratory. Transformational creativity is the most powerful it also represents big breaks from last thinking. The researcher tries to show creativity with a big C.

Transformational Creativity, otherwise called the Big C in AI, addresses the groundbreaking capability of artificial intelligence to upset the creative process. It outfits the force of advanced calculations, machine learning, and deep neural networks to produce unprecedented and innovative artistic articulations (Chiang et al. 2023). Overwhelmingly of information, AI can create exceptional music, visual workmanship, writing, and more, challenging conventional thoughts of human creativity. With its capacity to transcend existing limits and investigate uncharted territories, Transformational Creativity in AI vows to inspire, astonish, and reshape our artistic landscapes, ushering in another time of boundless imagination and unmatched artistic conceivable outcomes.

Computers utilizing adversarial networks, machine learning, and “recurrent independent mechanisms”. The first steps of faltering machines that created “Portrait Of Edmond Belamy”, and “The Illiac Suite”. [Referred to Appendix 1]


Impact on Digital Technologies

These days physical and digital worlds are coming together and the gap between these two worlds are decreasing gradually. Digital technologies are impacting the way to see and understand environmental issues differently. Algorithms of the digital world can be used to keep an eye on natural disasters like floods, earthquakes, etc. Data collection by satellites also helps to monitor disasters in nature. Uses of digital technologies in the Environment are widely spread. These technologies are used to monitor the climate. They are used to monitor sea-level activities. Gaming industries are also using digital technologies to spread awareness among users. [Referred to Appendix 2]  

Impact on Communities

Digital technologies have developed more quickly than any other innovation in our history. Digital technologies are improving public services to an extent. These technologies are pushing people to be more social. The impacts of digital technologies on communities, particularly in the field of environment, are complex and can make both positive and adverse consequences. On one hand, digital technologies can possibly upgrade local area commitment, work with information sharing, and advance environmental mindfulness. Stages and instruments like virtual entertainment, online gatherings, and versatile applications can connect communities, bring issues to light about environmental issues, and empower aggregate action. Additionally, digital technologies can empower information collection, examination, and modeling to work on environmental monitoring and asset the board.

To become mindful of these questions, embracing a comprehensive and interdisciplinary approach is pivotal. This involves conducting exploration and studies that investigate the social, economic, and environmental dimensions of digital technologies in unambiguous local area contexts. Specialists can investigate the differential impacts of digital technologies on assorted communities, assessing their entrance, utilization, and results. In addition, a collaboration between analysts, policymakers, innovation engineers, and communities themselves is fundamental to guarantee that the plan, implementation, and regulation of digital technologies are lined up with the requirements and aspirations of communities and the environment.

Reference list


  • Townsend, D. M., & Hunt, R. A. (2019). Entrepreneurial action, creativity, & judgment in the age of artificial intelligence. Journal of Business Venturing Insights, 11, e00126. [Retrieved from:] [Retrieved on 13.5.2023]
  • Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135-155. [Retrieved from:] [Retrieved on 13.5.2023]
  • Mehmood, M. U., Chun, D., Han, H., Jeon, G., & Chen, K. (2019). A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment. Energy and Buildings, 202, 109383. [Retrieved from:][Retrieved on 13.5.2023]
  • Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., ... & Hazen, B. T. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International journal of production economics, 226, 107599. [Retrieved from:] [Retrieved on 13.5.2023]
  • Das, S. (2020). Artificial Intelligence and Creativity Theory. Creative Industries Management Research Hub [Retreived from:] [Retrieved on 13.5.2023]
  • Cain, S. (2023). ‘This song sucks’: Nick Cave responds to ChatGPT song written in style of Nick Cave. The Guardian. [Retrieved from:] [Retrieved on 13.5.2023]
  • Chiang, T. (2023). ChatGPT Is a Blurry JPEG of the Web. New Yorker.
  • [Retrived from:] [Retrieved on 13.5.2023]
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