ENTERPRISE AI ANALYSIS
Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond
This analysis delves into the evolving landscape of generative AI's impact on creative professionals, focusing on critical governance elements: Consent, Credit, and Compensation. Based on insights from 20 interviews, we uncover nuanced perspectives and propose actionable recommendations for ethical AI integration.
Executive Impact Summary
Generative AI presents both significant threats and opportunities for creative industries. Strategic governance is key to mitigating risks and leveraging benefits. Our research highlights the immediate concerns and long-term implications for your workforce and creative output.
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Executives believe AI will eliminate/reduce jobs by 2026
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Game developers use GenAI tools
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Game developers have ethical concerns
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Recent lawsuits against generative AI companies
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
The 3 Cs Framework
AI Governance Principles
Impacts & Adaptations
The Nuance of Consent, Credit & Compensation
| Aspect | Worker Wants | Complexities / Nuances |
|---|---|---|
| Consent |
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| Credit |
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| Compensation |
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Recent lawsuits against Generative AI companies over IP, consent, compensation, and credit.
Gaps in Current AI Governance
Creative workers identify a significant gap between current AI governance strategies and their needs. There's a strong demand for explicit AI governance policies at governmental, company, publisher, and platform levels. Currently, many organizations adopt reactive, rather than proactive, mitigation strategies or ban AI usage due to limited resources. Transparency regarding AI training data sources and usage is a key demand.
Recommended AI Governance Flow
Identify Creative Output
→
Obtain Informed Consent
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Attribute Credit (if desired)
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Provide Fair Compensation
→
Establish Usage Policies
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Continuous Monitoring
The Challenge of Voice & Representation
"I think my biggest challenge these days as an artist is that artists are typically really bad at thinking in a sort of systematic way about their own work and on the whole, we're a very sort of intuitive bunch. So when I see artists try to make a case to others who are not artists about why their work is important, how do you get (convey) that information to someone else?"
Source: P6, Principal Visual Development Artist
This quote highlights the difficulty creative professionals face in articulating their concerns about AI to policymakers and tech communities, emphasizing the need for better mechanisms for worker representation and input in AI governance discussions. Power dynamics also play a role, limiting programmers' ability to express ethical concerns.
Adapting to Generative AI
Creative workers acknowledge that generative AI is here to stay and see adaptation as crucial for competitiveness. Strategies include developing 'better prompting' skills, using AI to 'augment skills' (e.g., for grunt work, ensuring human thoughtfulness), and leveraging AI to improve 'accessibility' to learning new skills faster, particularly in complex domains like cryptography. This proactive adaptation is seen as a way to protect careers even if AI governance falls short.
AI's Disruptive Potential on Creative Work
| Area of Disruption | Observed Impact |
|---|---|
| Loss of Respect for Craft |
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| Loss of Work/Income |
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| Lack of Human Thoughtfulness |
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| Elimination of Creativity |
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Estimate Your Potential AI ROI
Understand the economic impact of implementing robust AI governance and ethical frameworks. Use our calculator to estimate potential savings and reclaimed hours by optimizing creative workflows with thoughtful AI integration.
Estimated Annual Savings
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Estimated Annual Hours Reclaimed
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Your Enterprise AI Implementation Roadmap
A structured approach to integrating AI ethically and effectively, addressing creative workers' concerns and fostering innovation responsibly.
Phase 1: AI Impact Assessment
Conduct an internal audit of current creative workflows and identify areas most impacted by generative AI. Engage creative workers to gather feedback on current and potential harms and opportunities. Establish a baseline for current AI usage and governance gaps within the organization.
Phase 2: Governance Strategy Development
Develop explicit AI governance policies covering consent, credit, and compensation. Define acceptable and unacceptable uses of generative AI. Establish clear guidelines for distinguishing AI-generated from human-made work.
Phase 3: Ethical Implementation & Training
Implement mechanisms for obtaining ongoing, informed consent for creative work used in AI training. Develop fair compensation models. Provide training to creative workers on ethical AI usage, 'better prompting', and skill augmentation to coexist with AI.
Phase 4: Monitoring, Iteration & Advocacy
Continuously monitor the impact of AI on creative output quality and worker well-being. Iterate on governance policies based on feedback and technological advances. Advocate for worker-centric AI regulation at industry and governmental levels.
Ready to Govern AI Ethically in Your Enterprise?
Proactive and ethical AI governance is not just a regulatory necessity but a strategic advantage. Secure the future of your creative workforce and ensure the integrity of your output. Our experts are ready to guide your organization.
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