Human Creativity Research Articles

Embrace or Resist: Public Opinion of AI Art in the Age of Sora

Artificial intelligence (AI) has emerged as a transformative force in the art world, fostering new avenues for creativity and challenging traditional notions of artistic authenticity. In 2024 February, the release of Sora by OpenAI symbolized a major breakthrough in the quality of AI-Generated Content (AIGC), calling for new study of up-to-date technique advancement. The aim of this study is to examine how public perceptions of AI art have evolved in the context of Sora's release and to identify the possible contributing factors, such as the release of Sora and media framing. A mixed-methods approach, using both qualitative tools (MDCOR and SENA) and qualitative analysis (digital ethnography), was employed to draw insights from YouTube comments. Findings indicate that Soras release contributes to a broader range of public opinion and a trend of positive sentiment. Topics discussed by the public shift from the use of AI in the artistic creation process to the multidimensional applications of AI art products across diverse industries and their consequent social impacts. The majority of people hold a more positive attitude, particularly in terms of trust, towards AI art, while some artists express fear of job replacement and ethical issues. Media framing of political preference and professional interests also plays an important role in shaping public opinion of AI art. This study carries several implications for policymakers, artists, and technologists, and advocates legislative protection for human creators while fostering innovation.

Introduction to Computational Creativity

In the contemporary landscape of rapid technological advancements, Artificial Intelligence (AI) has emerged as an important factor in reshaping practices, world-views and expectations. One of the most intriguing and thought-provoking areas of AI's influence is its intersection with creativity. By deconstructing the cognitive processes involved in human creativity, researchers can design algorithms that simulate these processes. This involves machine learning, neural networks, evolutionary algorithms, and other AI techniques that enable computers to recognize patterns, generate new ideas, and refine them through iterative processes. Can AI's outputs—whether in painting, composing, writing, or other forms of artistic production—be considered genuinely creative, or are they mere reflections of the data and rules we feed into these systems?

Bridging creativity and international business competence through digital capabilities

Bridging creativity and international business competence through digital capabilities

Four-Dimensional Path Planning Methodology for Collaborative Robots Application in Industry 5.0

Industry 5.0 is a developing phase in the evolution of industrialization that aims to reshape the production process by enhancing human creativity through the utilization of automation technologies and machine intelligence. Its central pillar is the collaboration between robots and humans. Path planning is a major challenge in robotics. An offline 4D path planning algorithm is proposed to find the optimal path in an environment with static and dynamic obstacles. The time variable was embodied in an enhanced artificial fish swarm algorithm (AFSA). The proposed methodology considers changes in robot speeds as well as the times at which they occur. This is in order to realistically simulate the conditions that prevail during cooperation between robots and humans in the Industry 5.0 environment. A method for calculating time, including changes in robot speed during path formation, is presented. The safety value of dynamic obstacles, the coefficients of the importance of the terms of the agent’s distance to the ending point, and the safety value of dynamic obstacles were introduced in the objective function. The coefficients of obstacle variation and speed variation are also proposed. The proposed methodology is applied to simulated real-world challenges in Industry 5.0 using an industrial robotic arm.

Trust and Trustworthiness from Human-Centered Perspective in Human–Robot Interaction (HRI)—A Systematic Literature Review

The transition from Industry 4.0 to Industry 5.0 highlights recent European efforts to design intelligent devices, systems, and automation that can work alongside human intelligence and enhance human capabilities. In this vision, human–machine interaction (HMI) goes beyond simply deploying machines, such as autonomous robots, for economic advantage. It requires societal and educational shifts toward a human-centric research vision, revising how we perceive technological advancements to improve the benefits and convenience for individuals. Furthermore, it also requires determining which priority is given to user preferences and needs to feel safe while collaborating with autonomous intelligent systems. This proposed human-centric vision aims to enhance human creativity and problem-solving abilities by leveraging machine precision and data processing, all while protecting human agency. Aligned with this perspective, we conducted a systematic literature review focusing on trust and trustworthiness in relation to characteristics of humans and systems in human–robot interaction (HRI). Our research explores the aspects that impact the potential for designing and fostering machine trustworthiness from a human-centered standpoint. A systematic analysis was conducted to review 34 articles in recent HRI-related studies. Then, through a standardized screening, we identified and categorized factors influencing trust in automation that can act as trust barriers and facilitators when implementing autonomous intelligent systems. Our study comments on the application areas in which trust is considered, how it is conceptualized, and how it is evaluated within the field. Our analysis underscores the significance of examining users’ trust and the related factors impacting it as foundational elements for promoting secure and trustworthy HRI.

AI, human or a blend? How the educational content creator influences consumer engagement and brand-related outcomes

PurposeThis study aims to investigate the impact of educational digital content (EDC) creators on perceived content quality, consumer engagement, brand attitude and advocacy intention.Design/methodology/approachThe research consists of two experimental studies. In Study 1 (N = 172), participants were exposed to either AI-generated or human-generated educational content, with measured perceived content quality and consumer engagement. In Study 2 (N = 158), the authors extended the investigation and compared the effects of AI-generated, human-generated and hybrid-generated EDC on consumer engagement, brand attitude and advocacy intention.FindingsStudy 1 demonstrates that while the type of content creator does not significantly affect perceived content quality, it significantly influences consumer engagement, with the AI-generated EDC resulting in lower engagement. Study 2 highlights the effectiveness of human-AI collaboration, showing that consumer engagement is higher for hybrid posts than fully AI-generated ones, with hybrid content performing on par with human-generated content. Mediation analyses indicate that consumer engagement is a crucial mediator between content creator type and brand outcomes.Originality/valueThis research contributes to the literature on EDC in digital marketing and AI-generated content. Unlike previous studies that often isolate AI and human creators, this work highlights the benefits of integrating a hybrid approach. The findings provide practical implications for managers seeking to optimize digital strategies with valuable educational content.

AI sustainability in the art sector: Chinese contemporary visual artists’ solutions for working with AI to overcome global AI concerns

Nationwide integration of AI into the contemporary art sector has taken place since government AI regulations in 2023 to promote AI use. China’s AI integration into industry is ‘ahead’ of other countries, meaning that other countries can learn from these creative professionals. Consequently, contemporary visual artists have devised arts-led sustainable AI solutions to overcome global AI concerns. They are now putting these solutions into practice to maintain their jobs, arts forms, and industry. This paper draws on 30 interviews with contemporary visual artists, and a survey with 118 professional artists from across China between 2023 and 2024. Findings show that 87% use AI and 76% say AI is useful and they will continue to use AI into the future. Findings show professionals have had time to find DIY, bottom-up solutions to AI concerns, including (1) building strong authorship practices, identity, and brand, (2) showing human creativity and inner thinking, (3) gaining a balanced independent position with AI. They want AI regulations to liberalise and promote AI use so they can freely experiment and develop AI. These findings show how humans are directing the use of AI, altering current narratives on AI-led impacts on industry, jobs, and human creativity.

The Nature of Human is Islamic Perspective and its Implications for Islamic Education

This research is a Library Research, previous studies as primary data, which is then analyzed and conclusions can be drawn. research objective is to The first know the nature of man in Islamic perspective. Second, to know the implications of human nature in the Islamic perspective on Islamic education. The results of the study, first, in Islam, humans have a special position as creatures created by Allah SWT who are given reason, spirit, and responsibility in the world. The Qur'an uses three main terms to refer to humans, namely al-insân, al-basyar, and Bani Adam. The Qur'an explains that humans were created through several stages, starting from the ground which then developed into nutfah, alaqah, mudghah, until finally perfected by the inhalation of the spirit by Allah SWT. The purpose of human creation is to recognize and worship Allah, with reason or intellect as a tool for thinking and the heart as a tool for believing in the Essence that cannot be achieved by reason. Second, the implication of human creation with Islamic education has a very close relationship, because Islamic education must be balanced between the science taught and the science of the hereafter. That Islamic education must be based on the concept of human creation in order to have a clear direction in developing human nature in a balanced manner. Human identity as a perfect Muslim can only be realized if all of his potential as a creature of God, educator, learner, servant, and khalifah is well integrated. Islamic education must be based on the integration between qalbiyah (heart) and aqliyah (reason) education in order to form intellectually intelligent and morally superior humans. Islamic education must also be able to develop all human potential through hard skills and soft skills, become a means of transforming Islamic knowledge and culture, and internalize Islamic values in individuals.

Human creativity and the instinctive circulation of money in the global economy

Human creativity and the instinctive circulation of money in the global economy

Literarisches Übersetzen im KI-Zeitalter: Überlegungen zu einer nachhaltigen Markttransformation

Abstract Although it is less technologized than other language services, (partial) automation has also been witnessed in literary translation. Since 2017, neural machine translation (NMT) systems such as DeepL and, subsequently, large language models (LLMs) such as ChatGPT have been drastically changing, if not revolutionizing, the language industry. LLMs have larger context windows than NMT systems and allow for translations to be adapted to various reception situations. For instance, a text can be simultaneously translated and stylistically raised or lowered, and its literary form can be adapted in the target language. LLMs can also be useful for translating neologisms and other playful or creative textual elements. Despite the advantages of AI-based translation processes, some AI critics want literary translation to remain the sole preserve of humans. They speak of the impending destruction of the literary industry, a sensitive ecosystem, or of human creativity being connected to the desire to answer profound questions, which only humans are capable of, in the process of intellectual debate. Taking account of these conflicting positions, this contribution suggests that artificial intelligence can only transform literary translation in a sustainable way if humans are placed at the center of translation-relevant technological advancements.

Intellectual property protection in the era of artificial intelligence and the problem of generative platforms

AbstractThis article focuses on Generative Artificial Intelligence (GenAI) systems and their impact on Intellectual Property Rights (IPR). A concise snapshot of the international legal framework will provide the coordinates to address the evolution of European and Italian regulations on the subject and to place them in the current doctrinal and jurisprudential debate. To generate high‐quality results, GenAIsystems require significant amounts of operational and training data, often containing information protected by IPR. Some important US cases are laying the foundations for establishing what rights should regulate the impact of GenAI on human creativity, and while US courts contemplate where and when fair use may be permissible, European institutions have recently approved the final test of the first Regulation in the world on Artificial Intelligence (AI Act). The challenge is to create a European regulatory framework capable of standing the test of time, harmonizing national IPR and maximizing the advantages of GenAI in content creation without penalizing technological evolution or human creativity. The matter is the subject of a lively debate involving men of science and law.

Harmony or Discord? The Intersection of Generative AI and Human Creativity in Advertising

Harmony or Discord? The Intersection of Generative AI and Human Creativity in Advertising

Artificial Intelligence andCreativity: A Threat orA New Tool forForeign Language Teachers

The application of Artificial Intelligence (AI) in education has raised arguments about its impact on creativity, particularly in foreign language teaching. While some view AI as disrupting traditional teaching methods by reducing teachers' creative abilities, others see it as a powerful tool that aids language learning. This paper addresses the dual role of AI in foreign language teaching, explaining how it can limit or expand teachers' creativity. The study considers AI-facilitated tools, their effect on lesson design, learning customization, and students' motivation. While AI can't replace human creativity, it has the potential to serve as an imagination assistant that aids teachers rather than disempowers them. The study suggests that AI, when used effectively, is capable of reinforcing instruction and crafting a more interactive and dynamic language-learning environment.

Am I Still Creative? The Effect of Artificial Intelligence on Creative Self‐Beliefs

ABSTRACTThe advent of Artificial Intelligence (AI) is reshaping society, highlighting the need to better understand its implications for human creativity. This investigation explores the relationship and differences between people's general creative self‐beliefs and their creative self‐beliefs in an AI‐specific context (i.e., while using AI tools). It further investigates the role played by AI‐specific creative self‐beliefs and AI‐augmented creative activity for creative achievement. In a study on Prolific panel members (N = 273), we found that people's general creative self‐beliefs were notably higher than their AI‐specific beliefs (d = 0.75). Moreover, the relationship between general and AI‐specific creative self‐beliefs followed a necessary‐yet‐not‐sufficient pattern; feeling creative in AI settings was unlikely when general creative self‐beliefs were low, yet strong general creative self‐beliefs did not guarantee feeling creative when using AI. Finally, although general creative self‐beliefs were both directly and indirectly (via creative activity) positively associated with creative achievement, AI‐specific beliefs were only indirectly linked to achievement via AI‐augmented creative activities, with more puzzling direct links observed. We discuss the implications of these findings and offer some future research avenues.

From Thermal City to Well-Being Landscape: A Proposal for the UNESCO Heritage Site of Pineta Park in Montecatini Terme

Thermal cities represent a valuable example of cultural heritage as an expression of territorial relationships, reflecting the interplay between the physical characteristics of the landscape and human creativity. Their cultural value was recognized with the inscription of 11 spa towns in the UNESCO World Heritage List in 2021. However, since the late 20th century, shifting economic and social conditions have led to a widespread crisis in thermal tourism, resulting in abandonment and degradation. So far, this issue has been primarily addressed through tourism and economic models, largely neglecting the landscape perspective. This article, instead, argues that a landscape-based approach is essential for understanding the complexity of the problem and for providing sustainable solutions. The paper seeks to answer two research questions: (i) the first concerns the role of landscape design within the conservation framework of thermal heritage; (ii) the second addresses the creation of new values and opportunities, investigating how landscape design can support a sustainable and context-sensitive transformation of thermal cities. The study adopts the Research-through-Design (RTD) methodology and takes advantage of the landscape design proposal developed for Montecatini Terme, in Italy, as an opportunity to explore the broader issue of rethinking traditional spa towns in crisis. As a result of this design and research experience, it is argued that landscape design plays a crucial role in establishing an integrated system capable of supporting the sustainable development of spa towns and recommendations for decision-makers are provided.

The Evolution of Craftmanship from Necessity to Creativity

This study explores the intricate relationship between traditional craft and modern technology, emphasizing the ancient Greek concepts of Techne and Episteme. By examining the historical evolution of craftsmanship and the profound connection between theoretical knowledge and practical skill, the research highlights how advancements in tools and techniques have continually transformed human innovation. The discussion extends to contemporary issues, including the impact of mass production on craft and the potential for integrating robotic manufacturing with traditional craftsmanship principles. This integration addresses challenges such as maintaining the craftsman's role in a rapidly evolving technological landscape and preserving the essence of craft in the age of automation. By investigating the dynamic interplay between tools, techniques, and creative processes, the study underscores the significance of adaptive and process-oriented production methods. The research also delves into the potential of robotics to introduce elements of uncertainty and creativity into the production process, mimicking traditional craftsmanship's flexibility. Through this synthesis, the study aims to redefine the role of the craftsman in the modern era, proposing a hybrid approach that leverages the strengths of both human creativity and technological precision. This approach offers new paradigms for producing unique, high-quality products, fostering a harmonious coexistence of tradition and innovation in the realm of craft and technology.

Prompt2Pixel – An Image Genration Engine Based On DALL-E Model

A text-to-image generation engine based on the DALL-E model, which utilizes advanced deep learning techniques to convert textual descriptions into high-quality images. The DALL-E model, developed by Open AI, is designed to understand complex language inputs, allowing it to create visually coherent and contextually relevant images. The engine's architecture and training methods are explored, showcasing its ability to generate diverse imagery from a wide range of prompts. Evaluation of its performance highlights its strengths in creativity and versatility, making it applicable in various fields such as art, design, and education. Additionally, the implications of this technology for enhancing human creativity are considered, alongside the ethical challenges associated with AI-generated content. This work sheds light on the capabilities of text-to-image generation and the potential impact of AI on visual content creation, offering insights into both opportunities and challenges in this evolving landscape

Pattern recognition research on big data algorithm-driven visual expression system for fine arts and philosophy integration in artistic creation

The development of artificial intelligence enables computers to not only simulate human artistic creations, but also synthesize fine art works with deeper meanings based on natural images. This study digitally parses the fusion of fine art and philosophy visual expressions, and develops a visual expression system based on the fusion of fine art and philosophy by utilizing a variety of key big data algorithms for visual expressions such as adversarial networks. Research on pattern recognition of this system in art creation is carried out through model training, recommendation performance evaluation, pattern recognition strategy application and regression analysis. The model in this paper works best when the number of nearest neighbors k=15, and the recommendation model in this paper can provide a personalized list of artwork recommendations for different people. The recognition of the system in this paper in the five dimensions of “spiritual level”, “value level”, “philosophical level”, “aesthetic level” and “technical level” is distributed between 4.24 4.55. The results of regression analysis indicated that the system in this paper can improve the artistic creation as well as pattern recognition.

Embracing AI in LitRPGs: Co-creativity and its discontents

The rise of artificial intelligence has transformed creative industries, offering new possibilities for human-machine collaboration. This paper explores the potential impact of AI on the creative processes of the Literary Role-Playing Game (LitRPG) genre, a primarily online-based growing subgenre of fiction that blends traditional storytelling with video game mechanics. Based on an interview with prominent LitRPG author Gliglith, and a review of over 100 LitRPG novels, this paper argues that the genre is particularly well-suited for AI integration. Drawing on theories of co-creativity that offer a blueprint for humans-AI collaboration, the paper outlines a framework for strategic AI usage, emphasizing a division of labor where AI handles repetitive tasks and synthesizes large databases while authors focus on aesthetic judgment. Such modes of responsible adoption of AI not only enable LitRPG authors to enhance productivity, generate innovative content, and expand global readership, but also preserve the human element of artistic expression in an increasingly automated world. Thus, the stakes of meaningful AI integration in LitRPG extend far beyond the genre: co-creativity offers a powerful model for leveraging technology to amplify human creativity and safeguard its unique contributions.

Creative Potential in the Age of AI: Can Innovative Writing Strategies Ease Author Anxiety?

This article explores the nuances to generative AI, drawing on psychological concepts of creativity and experimentation to argue that, rather than being a force that threatens to overpower the role of the author, when viewed from another perspective, it in fact has the potential to enhance human creativity. Focusing primarily on the use of generative AI for creative writing, recent experimental projects are considered alongside an analysis of AI’s advantages and disadvantages when used creatively. The article concludes that with the right approach, generative AI can be used to broaden creative thought and push author’s writing beyond the comfort zone; moving forward in this new era of AI content creation it is essential to prioritise transparency, experimentation, and human autonomy.