The recent developments in artificial intelligence (AI) have significantly enhanced its capacity to create art in both autonomous and collaborative settings. AI aims to imitate, combine, and extend existing artistic styles, thereby transforming creative practices. In light of these advancements, our ongoing research focuses on exploring the sustainability and ethical implications of Creative-AI. Our research is divided into two main areas: environmental sustainability and ethical considerations related to power dynamics, authorship, and ownership in the creation process. Regarding environmental sustainability, we conduct case studies on the use of Creative-AI in artistic processes to understand its material and practical impact. Additionally, we quantify the energy consumption associated with AI technologies used by creative practitioners. This analysis helps us identify potential user-centered design implications for system architecture and user experience. We also study the emerging ecosystems of Creative-AI and AI arts to gain insights into their environmental sustainability. From an ethical perspective, we aim to bridge the gap between existing ethical frameworks and their implementation within creative communities and among Creative-AI developers. We investigate how Creative-AI is currently utilized by artist communities and explore future applications envisioned by artists. By applying AI to art creation, we examine its potential impact on the economy and environment. To address our research questions effectively, we employ an interdisciplinary approach that combines interviews, workshops, online ethnography, and energy measurements.
Recent developments in AI have made it better at creating art on its own and working with others. AI tries to copy, mix, and expand on different artistic styles to make new kinds of art. Scientists are studying how using AI for art affects the environment and if it is right or wrong. They look at two main things: how it affects the environment and if it is fair for artists. They also do case studies to see how using AI in art actually works. They measure how much energy AI uses when artists use it. They also study how using AI for art can be good for the environment. People want to make sure that using AI in art follows rules that are already there and that artists like using it. They also want to know what new ways artists will use AI in the future. Finally, they look at how using AI for art affects money and the world around us. They talk to different people, do activities together, watch people online, and measure energy."
Definitions
- Autonomous: Able to work by itself without needing help from a person.
- Collaborative: Working together with other people.
- Imitate: To copy or try to be like something else.
- Sustainability: The ability to continue doing something without causing harm or running out of resources.
- Ethical: Doing what is right or fair according to a set of rules or beliefs.
- Power dynamics: How power is shared or used between different people or groups.
- Authorship: Being the original creator of
Exploring the Sustainability and Ethical Implications of Creative-AI
The recent developments in artificial intelligence (AI) have significantly enhanced its capacity to create art in both autonomous and collaborative settings. AI aims to imitate, combine, and extend existing artistic styles, thereby transforming creative practices. In light of these advancements, our ongoing research focuses on exploring the sustainability and ethical implications of Creative-AI.
Environmental Sustainability
Our research is divided into two main areas: environmental sustainability and ethical considerations related to power dynamics, authorship, and ownership in the creation process. Regarding environmental sustainability, we conduct case studies on the use of Creative-AI in artistic processes to understand its material and practical impact. Additionally, we quantify the energy consumption associated with AI technologies used by creative practitioners. This analysis helps us identify potential user-centered design implications for system architecture and user experience. We also study the emerging ecosystems of Creative-AI and AI arts to gain insights into their environmental sustainability.
Ethical Considerations
From an ethical perspective, we aim to bridge the gap between existing ethical frameworks and their implementation within creative communities and among Creative-AI developers. We investigate how Creative-AI is currently utilized by artist communities and explore future applications envisioned by artists. By applying AI to art creation, we examine its potential impact on the economy and environment. To address our research questions effectively, we employ an interdisciplinary approach that combines interviews, workshops, online ethnography, and energy measurements.
Overall our research seeks to provide a comprehensive understanding of how Artificial Intelligence can be used responsibly when creating art so that it does not harm either people or planet Earth but instead enhances creativity while being mindful of ethical considerations such as authorship rights as well as sustainable practices from an environmental standpoint
The recent developments of artificial intelligence increase its capability for the creation of arts in both largely autonomous and collaborative contexts. In both contexts, Ai aims to imitate, combine, and extend existing artistic styles, and can transform creative practices. In our ongoing research, we investigate such Creative-Ai from sustainability and ethical perspectives. The two main focus areas are understanding the environmental sustainability aspects (material, practices) in the context of artistic processes that involve Creative-Ai, and ethical issues related to who gets to be involved in the creation process (power, authorship, ownership). This paper provides an outline of our ongoing research in these two directions. We will present our interdisciplinary approach, which combines interviews, workshops, online ethnography, and energy measurements, to address our research questions: How is Creative-Ai currently used by artist communities, and which future applications do artists imagine? When Ai is applied to creating art, how might it impact the economy and environment? And, how can answers to these questions guide requirements for intellectual property regimes for Creative-Ai?
