With the rapid development and widespread application of AI creative tools, we face unprecedented ethical challenges. SkyRun is committed to developing a framework for the responsible use of AI creative tools, ensuring that technological development goes hand in hand with ethical considerations. Our Creative AI Ethics Framework aims to provide clear guidance for creators, developers, and users, promoting the healthy development of AI creative technology.
Ethical Challenges
Creative AI technology brings a series of complex ethical challenges that span multiple dimensions and require deep thought and active response:
Copyright and Attribution
The copyright attribution of AI-generated content is a core challenge. When AI systems are trained on large amounts of existing works and generate new content, who should own the copyright to these contents? The AI system developers, the creators using AI tools, or the original creators who contributed to the training data? These questions involve considerations across legal, ethical, and economic dimensions.
Creator Rights
AI creative tools may impact the livelihoods of traditional creators. If AI can quickly generate high-quality creative content, this may lead to reduced job opportunities in certain creative industries. We need to consider how to balance technological innovation with protecting creator rights, ensuring that AI becomes an assistant to creators rather than a replacement.
Content Authenticity
AI-generated content may be difficult to distinguish from human-created content, raising questions about content authenticity and transparency. If users cannot discern whether content is generated by AI or created by humans, this may lead to information confusion and trust crises. We need to establish clear identification mechanisms to ensure users can understand the source of content.
Cultural Diversity
AI systems may inadvertently reinforce or propagate specific cultural notions, neglecting cultural diversity. If training data primarily comes from certain cultural backgrounds, AI-generated content may lack cultural inclusivity and diversity. We need to ensure that AI creative tools can respect and promote the expression and values of different cultures.
Bias and Fairness
AI systems may inherit and amplify biases in training data, leading to unfair or discriminatory expressions in generated content. These biases may involve gender, race, age, ability, and other aspects, affecting the fairness and inclusivity of content. We need to actively identify and mitigate biases in AI systems to ensure the fairness of generated content.
Ethical Framework Principles
Based on deep reflection on these ethical challenges, we propose the core principles of the Creative AI Ethics Framework:
Transparency
We commit to maintaining transparency in the development and use of AI creative tools. This includes clearly disclosing the capabilities and limitations of AI systems, the sources and processing methods of training data, and the AI contribution level to generated content. We have developed a content identification system that allows users to clearly understand how content is generated and its sources.
Fair Value Distribution
We are dedicated to establishing fair value distribution mechanisms, ensuring that all contributors to the creative process receive reasonable returns. This includes providing compensation to original creators of training data, providing clear copyright protection for creators using AI tools, and providing reasonable commercial returns for AI system developers. Our blockchain value authentication system is a key technology for implementing this principle.
Creator Empowerment
We view AI as an assistant and tool for creators, not a replacement. Our goal is to empower creators through AI technology, enabling them to express creativity more efficiently, explore new art forms, and break the limitations of traditional creation. We provide training and resources to help creators effectively use AI tools while maintaining the uniqueness and personal style of their creations.
Cultural Inclusivity
We are committed to ensuring that AI creative tools respect and promote cultural diversity. We actively expand the cultural coverage of training data, develop culturally sensitive evaluation mechanisms, and collaborate with creators from different cultural backgrounds to ensure AI systems can understand and express diverse cultural concepts. Our goal is to make AI a bridge connecting different cultures, not a tool for cultural homogenization.
Bias Mitigation
We actively identify and mitigate biases in AI systems to ensure the fairness and inclusivity of generated content. We have developed bias detection tools, regularly evaluate and update training data, and established diverse review teams to assess AI system outputs from different perspectives. We encourage user feedback on potential bias issues and take prompt action for correction.
User Control
We respect users' control over the creative process. Our AI tools provide flexible parameter settings and interactive feedback mechanisms, allowing users to guide the generation process according to their intentions and preferences. We avoid "black box" generation modes, instead providing transparent, controllable creative experiences that make users the leaders of creation.
Implementation Measures
To translate these ethical principles into practical actions, we have adopted the following specific measures:
Ethics Review Committee
We have established an Ethics Review Committee composed of experts from multiple fields, responsible for evaluating the ethical impact of AI creative tools, providing guidance and recommendations, and overseeing the implementation of the ethical framework. Committee members include technical experts, artists, legal scholars, sociologists, and ethicists, ensuring multi-perspective ethical considerations.
Content Identification System
We have developed a content identification system that clearly indicates AI's contribution level to content creation. This includes metadata tagging, visible watermarks, and content certificates, allowing users to understand how content is generated, the degree of AI involvement, and the contributions of human creators. This system integrates with our blockchain value authentication technology, ensuring the authenticity and immutability of identification.
Creator Support Program
We have launched a Creator Support Program to provide training, resources, and transition support for traditional creators affected by AI technology. We collaborate with art institutions, educational organizations, and industry associations to help creators adapt to technological changes, explore new possibilities of AI-assisted creation, and develop skills and capabilities suited to the AI era.
Diversity Data Initiative
We have implemented a Diversity Data Initiative, actively expanding the cultural, geographical, and demographic coverage of training data. We collaborate with global creators to collect creative content from diverse cultural backgrounds, ensuring these contents receive appropriate weight and representation in the training process. We regularly assess data diversity and take measures to fill potential cultural gaps.
Bias Monitoring System
We have developed a bias monitoring system that continuously evaluates potential biases in AI-generated content. This system combines automated analysis and human review, capable of identifying bias manifestations related to gender, race, age, and other aspects. We adjust model parameters, update training data, and improve generation algorithms based on monitoring results to mitigate system biases.
User Feedback Mechanism
We have established a convenient user feedback mechanism, encouraging users to report ethical issues in AI-generated content. We value user feedback, promptly investigate and respond to ethical concerns, and incorporate feedback into the system improvement cycle. This mechanism enables us to quickly discover and address ethical challenges that arise in actual use.
Industry Collaboration
We recognize that the ethical challenges of creative AI require the collective effort of the entire industry. We actively participate in industry dialogue and collaboration, promoting the development and implementation of creative AI ethical standards:
- Participating in the International AI Ethics Alliance, working with leading global AI research institutions and companies to develop creative AI ethical guidelines
- Collaborating with artist associations and creative industry organizations to understand creator concerns and incorporate them into the ethical framework
- Supporting the development of open-source ethical tools, enabling more creative AI developers to implement ethical best practices
- Hosting creative AI ethics seminars and workshops, promoting knowledge sharing and experience exchange within the industry
- Participating in policy-making processes, providing technical and practical insights for the ethical regulation of creative AI
Future Outlook
Creative AI ethics is a continuously evolving field, and as technology advances and social expectations change, ethical frameworks also need ongoing updates and refinements. We commit to maintaining an open attitude, listening to different voices, and adjusting our ethical framework based on new insights and challenges.
We believe that only on a solid ethical foundation can creative AI technology truly release its potential, providing meaningful enhancement to human creativity rather than threatening it. SkyRun is committed to being a responsible AI innovator, always placing ethical considerations at the core while pushing technological boundaries.
If you have any suggestions or feedback on our Creative AI Ethics Framework, or wish to learn more about our ethical practices, pleasecontact our ethics team. We welcome various perspectives and suggestions to jointly build a more responsible and inclusive creative AI future.
Ethics consultation:ethics@skyrun.ai