Artificial Intelligence in Digital Art: A Comparative Analysis on Impacts to Artists

In the increasingly competitive landscape of the games industry, working efficiently is essential for ensuring products meet audience expectations and work as intended. Various elements can play a key role when attempting to develop games smoothly and successfully, as time, money and technical capabilities can be very limiting factors that can require careful consideration. For this research, this paper will explore three key examples of such elements, which are art styles, AI tools, and the role of creative expression during the development process. Each of these examples can be notable factors towards streamlining production tasks and accelerating development, which can be especially important in the fast and competitive games industry. The choice of an art style, for instance, can save time, effort and costs while also being more optimal for performance and for supporting a chosen theme. The role of creative expression is also something that should not be understated, as it can be vital for finding solutions to problems, as well as preventing other potential issues. Finally, AI tools have demonstrated significant potential and numerous possibilities to help streamline various tasks related to the games industry, such as programming, artistic production and organizing data. By analyzing these three elements—art styles, AI tools, and creative expression— this paper will aim to provide a stronger understanding of how they can contribute to ensuring a more efficient game development process.

Reinventing assessments with ChatGPT and other online tools: Opportunities for GenAI-empowered assessment practices

EVA Copenhagen 2018 - Politics of the Machines - Art and After - Index

From prehistoric cave paintings to contemporary digital creations, art has been integral to human expression throughout history. Digital art in modern art gradually includes various forms, such as Painting, sculpture and animation, using technology as its medium. Digital art includes any artistic work using digital technology, including Painting, 3D modelling, and interactive installations. It combines human creativity with computer technology, expanding the possibilities of creative expression. Studying digital artistry in India provides insights into cultural preservation, technological innovation, and social commentary. It promotes educational development and economic opportunities, contributing to the country's vibrant artistic scene. Technological advancements have democratized digital art creation in India, leading to diverse artistic expressions. Integrating digital art with emerging technologies like AR, VR, and NFTs opens up new possibilities for artistic exploration and dissemination. Digital art techniques include digital Painting, vector art, and 3D modelling, facilitated by hardware such as graphics tablets and software such as Adobe Creative Cloud. Brushes, textures and plugins enhance the creative process, while photo manipulation and 3D sculpting provide new avenues for artistic expression. Digital artistry in India offers insights into cultural dynamism, technological innovation and artistic development. This research paper delves into the evolving landscape of digital artistry in India, exploring various techniques, trends, and the socio-cultural impact of digital art in the country.

Today, creativity has moved beyond its traditional home in the rhetoric of the philosopher and the exploits of the artist to form an integral part of both the theory and practice of a myriad of disciplines. Health professionals (Dossey; Kirklin & Meakin; Meites, Bein & Shafer; Rees; Satalof), scientists (Bohn 1-3, 13-15; Culross), educators (Guilford; Sawyer; Sternberg & Williams; Wilks) and those involved in the corporate world (Forbes & Domm; Mauzy & Harriman; Robinson & Stern) all consider creativity to be a fundamental criterion by which they measure and achieve their successes. 2 In this way, however, creativity has become something of an over-burdened signifier. Now the market is flooded with highly idealised and ever expanding models for understanding and transmitting creativity, in which the medium (transmission) strives to outdo the message (creativity itself). We are not attempting here to arbitrate between these various models with a view to providing a rank order of creativity. Instead, we want to focus on and explore the ways in which recent technological developments, primarily the internet, have been, and might be, used to transmit and facilitate new directions and expressions of creativity and the creative process itself. 3

Digital artists with motor impairments in their upper limbs face considerable barriers to accessibility when using drawing tools. Our work aims to investigate the complex relationship between digital artists’ creative processes and their accessibility challenges. We conducted 15 interviews with artists who use input devices to make digital art, analyzing their accessibility challenges for producing digital artwork. We reviewed how effective the solutions are in diminishing the impact on their creative processes and identifying design opportunities for the research community. Using thematic analysis, we look at the challenges participants reported in their artistic production, including managing pain, discomfort, and injuries alongside workarounds. Secondly, the artists reported the complexities of managing internal and external perceptions. Lastly, the ways creative processes are impacted by the accessibility challenges and solutions related to their upper limb motor impairments. We discuss research directions which can better address the impact of accessibility challenges on creative processes, the balance of creative agency over tools, and design insights for more accessible artistic technologies.

NFTs and Digital Art

Nowadays, the relationship between artificial intelligence and learning has received wide attention. However, there is still insufficient research on the relationship and application of artificial intelligence and personalized learning. This paper analyzes the relationship between the current artificial intelligence tools and personalized learning and the future application prospects of AI tools in personalized learning. The analysis of this paper shows that the current AI tools have been widely used in the learning process of students, and the use of after-school learning accounts for a higher proportion. In addition, when students use AI tools in their learning process, the role played by AI tools is not highly related to personalization. And the current AI tools still have certain shortcomings, and further improvements are needed to promote his application in personalized learning. Based on this, this paper puts forward the following suggestions. The first step is to strengthen the use of AI tools in the classroom so that they can participate in the whole process of personalized learning. In addition, AI tool developers should improve the flexibility of AI tools and add corresponding new functions in response to the needs of the education industry. Finally, schools should guide to enable students to use AI tools more effectively in the process of personalized learning and introduce policies to avoid academic misconduct caused by AI tools.

Digital technologies have increased our ability to process images. Artists in the past had fewer tools at their disposal to create their artworks. There is a revolution in art today thanks to development of computer technologies. Activities of artists using new technological tools that emerge with digitalization can be defined as digital art. All branches of art where art and technology combine are within the scope of digital art. The main difference between traditional art and digital art is the medium where the artwork is created. In traditional art, a musician uses a musical instrument to display his work, or a painter produces his work with canvas and brush. In digital art, this occurs using technological devices. Many applications, from digital graphic arrangements to video installations, from virtual realities to artificial intelligence applications, fall within the scope of digital art. This article's goals are to investigate how technology has affected art throughout history and to look at how digital art is created and sold. In this article, the impact of artificial intelligence on today's art and artists will be examined. NFTs, another controversial artwork of today, will be focused on and information will be given about the variants of these new technologies in today's art. Literature review and compilation were chosen as the method. According to the findings, artists who closely follow technological developments are the pioneers of the digitalization and dissemination of art. With the evolution of artificial intelligence from its first applications to the present day, artificial intelligence has now turned into a productive tool that can produce works that have never existed before, beyond being just an algorithm. In addition, it has been observed that, thanks to NFTs, digital art can escape the authority of art institutions, create its own autonomous space in a decentralized environment, and present itself as a digital asset open to everyone.

Purpose of ReviewMillions of people now use generative artificial intelligence (GenAI) tools in their daily lives for a variety of purposes, including sexual ones. This narrative literature review provides the first scoping overview of current research on generative AI use in the context of sexual health and behaviors.Recent FindingsThe review includes 88 peer-reviewed English language publications from 2020 to 2024 that report on 106 studies and address four main areas of AI use in sexual health and behaviors among the general population: (1) People use AI tools such as ChatGPT to obtain sexual information and education. We identified k = 14 publications that evaluated the quality of AI-generated sexual health information. They found high accuracy and completeness. (2) People use AI tools such as ChatGPT and dedicated counseling/therapy chatbots to solve their sexual and relationship problems. We identified k = 16 publications providing empirical results on therapists’ and clients’ perspectives and AI tools’ therapeutic capabilities with mixed but overall promising results. (3) People use AI tools such as companion and adult chatbots (e.g., Replika) to experience sexual and romantic intimacy. We identified k = 22 publications in this area that confirm sexual and romantic gratifications of AI conversational agents, but also point to risks such as emotional dependence. (4) People use image- and video-generating AI tools to produce pornography with different sexual and non-sexual motivations. We found k = 36 studies on AI pornography that primarily address the production, uses, and consequences of – as well as the countermeasures against – non-consensual deepfake pornography. This sort of content predominantly victimizes women and girls whose faces are swapped into pornographic material and circulated without their consent. Research on ethical AI pornography is largely missing.SummaryGenerative AI tools present new risks and opportunities for human sexuality and sexual health. More research is needed to better understand the intersection of GenAI and sexuality in order to a) help people navigate their sexual GenAI experiences, b) guide sex educators, counselors, and therapists on how to address and incorporate AI tools into their professional work, c) advise AI developers on how to design tools that avoid harm, d) enlighten policymakers on how to regulate AI for the sake of sexual health, and e) inform journalists and knowledge workers on how to report about AI and sexuality in an evidence-based manner.

Purpose: To observe interactions of practicing radiologists with a chest x-ray AI tool and evaluate its usability and impact on workflow efficiency. Methods: Using a simulated clinical workflow and remote multi-monitor screensharing, we prospectively assessed the interactions of 10 staff radiologists (5-33years of experience) with a PACS-embedded, regulatory-approved chest x-ray AI tool. Qualitatively, we collected feedback using a think-aloud method and post-testing semi-structured interview; transcript themes were categorized by: (1) AI tool features, (2) deployment considerations, and (3) broad human-AI interactions. Quantitatively, we used time-stamped video recordings to compare reporting and decision-making efficiency with and without AI assistance. Results: For AI tool features, radiologists appreciated the simple binary classification (normal vs abnormal) and found the heatmap essential to understand what the AI considered abnormal; users were uncertain of how to interpret confidence values. Regarding deployment considerations, radiologists thought the tool would be especially helpful for identifying subtle diagnoses; opinions were mixed on whether the tool impacted perceived efficiency, accuracy, and confidence. Considering general human-AI interactions, radiologists shared concerns about automation bias especially when relying on an automated triage function. Regarding decision-making and workflow efficiency, participants began dictating 5seconds later (42% increase, P = .02) and took 14seconds longer to complete cases (33% increase, P = .09) with AI assistance. Conclusions: Radiologist usability testing provided insights into effective AI tool features, deployment considerations, and human-AI interactions that can guide successful AI deployment. Early AI adoption may increase radiologists' decision-making and total reporting time but improves with experience.

The development of AI has become a disruptive and transformative force that alters all forms of creative expression, including visual art, music, literature, and performance. Artistic content generation through AI technology expands authorship constraints by enabling machines to produce art in various ways, enhancing existing works, and executing simulations. This paper presents a comprehensive assessment of AI implementation across various art fields before examining how AI impacts human creative capabilities and identifying the ethical and conceptual issues that arise from machine-generated artworks. This paper synthesises contemporary research from 2019 to 2025 on AI technology in creative applications. The creative field currently experiences major changes because machine-produced artwork becomes more sophisticated thanks to AI tools, including DALL-E, Stable Diffusion, GPT-4 and AI-generated content. AI technology introduces new artistic territory but raises debates on copyright rules, sparks authorship debates, affects employment conditions and disrupts human-machine professional interactions. The investigation highlights both the benefits and challenges that arise from artificial intelligence applications in creativity. With AI tools, humans can enhance their artistic quality by leveraging AI as a collaborative tool and venture into new artistic domains that surpass human capabilities. Prior regulatory action must be taken urgently to address significant ethical concerns, including copyright conflicts, data bias, and the erosion of artistic authenticity. The review emphasizes the importance of integrating knowledge from artistic disciplines with both legal frameworks and ethical AI regulations to strike a balance between technological progress and artistic quality. Keywords: Artificial Intelligence, Creative Technologies, Digital Art, Human-AI Collaboration, Generative Art, Computational Creativity

As digital art merges with contemporary art, there have been many fundamental changes in the creative process. New forms of art continue to emerge and a revolutionary change in the art experience is occurring in museums, galleries and on the Internet. As a digital art curator, I have been fortunate to be a part of this revolution and will share my experiences and thoughts about past, present and future developments in curating traditional, contemporary and digital art. After a few landmark exhibitions in the late 1960s, digital art found an early home in international organisations, such as Ars Electronica, ISEA, New York Digital Salon, and ZKM. The development of the World Wide Web in the mid-1990s gave digital art the additional exposure it needed. Artists could now sidestep the traditional art establishment and reach a global audience through their websites. The Internet also expanded the art experience beyond galleries and museums into homes, schools and portable devices. 2001 joined 1968 as a landmark year for major museum exposure of digital art with BitStreams and Data Dynamics at the Whitney Museum of American Art and 010101 at the San Francisco Museum of Modern Art. What transpired over these decades has reshaped contemporary art and presented new challenges to museum professionals faced with this new art form. When looking towards the future, we will see a continued merging of digital art with contemporary art. New ways of exhibiting and creative self-expression using VR and Augmented Reality, along with other new, yet to be invented, technologies will be developed as they continue to infuse our daily lives and art experiences. This paper will examine the evolution of curating digital art over the past twenty-five years.

Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. Consequently, it has introduced new challenges and threats to medical education. We assessed the use of ChatGPT and other AI tools among medical students in Uganda. We conducted a descriptive cross-sectional study among medical students at four public universities in Uganda from 1st November 2023 to 20th December 2023. Participants were recruited by stratified random sampling. We used a semi-structured questionnaire to collect data on participants' socio-demographics and use of AI tools such as ChatGPT. Our outcome variable was use of AI tools. Data were analyzed descriptively in Stata version 17.0. We conducted a modified Poisson regression to explore the association between use of AI tools and various exposures. A total of 564 students participated. Almost all (93%) had heard about AI tools and more than two-thirds (75.7%) had ever used AI tools. Regarding the AI tools used, majority (72.2%) had ever used ChatGPT, followed by SnapChat AI (14.9%), Bing AI (11.5%), and Bard AI (6.9%). Most students use AI tools to complete assignments (55.5%), preparing for tutorials (39.9%), preparing for exams (34.8%) and research writing (24.8%). Students also reported the use of AI tools for nonacademic purposes including emotional support, recreation, and spiritual growth. Older students were 31% less likely to use AI tools compared to younger ones (Adjusted Prevalence Ratio (aPR):0.69; 95% CI: [0.62, 0.76]). Students at Makerere University were 66% more likely to use AI tools compared to students in Gulu University (aPR:1.66; 95% CI:[1.64, 1.69]). The use of ChatGPT and other AI tools was widespread among medical students in Uganda. AI tools were used for both academic and non-academic purposes. Younger students were more likely to use AI tools compared to older students. There is a need to promote AI literacy in institutions to empower older students with essential skills for the digital age. Further, educators should assume students are using AI and adjust their way of teaching and setting exams to suit this new reality. Our research adds further evidence to existing voices calling for regulatory frameworks for AI in medical education.

Digital arts refer to the art design form created with the method of new digital technology or digital media. It has both technicality and humanity. It is not only a breakthrough in print media and electronic media, but also has a profound impact on cultural communication. With the development of technology, digital arts have undergone the transformation from traditional image recreation to interactive communication. Digital arts are completely different from traditional arts in the form of expression, also have the advantages of the wider scope, faster speed and richer means. In cultural communication, digital arts are mainly used in 4 aspects: digital image production based on CG technology, cultural content display based on Internet, immersive experience design based on extended reality and visual content generation based on artificial intelligence. The application focus and progress are different at home and abroad. By using digital art, more users can participate in the process of cultural communication directly, feeling the charm of Chinese culture more closely and intuitively, and enhance the cultural identity of all ethnic groups in China.