Enterprise AI Analysis
Anticipatory Technology Ethics Reflection By Eliciting Creative AI Imaginaries Through Fictional Research Abstracts
Authored by Petra Jääskeläinen, Camilo Sanchez, and André Holzapfel, this paper addresses the critical need for anticipatory ethical reflection in Creative AI development. It highlights how current AI ethics guidelines often fall short, being 'rationalist inactionability' and lacking ground-up, situated approaches.
The study explores how future Creative AI scenarios, elicited through Fictional Research Abstracts (FRAs), can reveal ethical challenges ranging from intellectual property and environmental impact to the very nature of creativity itself.
Executive Impact Summary
This research provides critical insights for organizations developing or deploying Creative AI, focusing on proactive ethical engagement to shape responsible AI futures.
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Workshops Conducted
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Creative AI Practitioners Engaged
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Fictional Research Abstracts Analyzed
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Key Thematic Discussions Identified
The study reveals that while Creative AI poses significant ethical dilemmas, current reflection often leans reactionary. Proactive engagement, especially through frameworks like Anticipatory Technology Ethics (ATE), is crucial for shaping responsible AI development.
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Impact on Creativity (T1)
AI-Human Relationship (T2)
Projected Change (T3)
Socio-Technical Continuity (T4)
Normative Aspirations (T5)
Explores how Creative AI influences creativity loss, augmentation, definition, opportunism, and commercialization. Participants expressed fears of creativity loss, particularly in engineer-focused workshops, and concerns about AI's impact on artistic genres and communities.
8 out of 10
Abstracts focused on Artifact & Application ATE
FRA A3: Dystopian Creativity Loss
Abstract A3 imagined a dystopian scenario where humans lose the ability to imagine due to Creative AI use, becoming addicted to machine-in-the-loop creative processes. This highlights the fear that AI could limit human imagination despite also suggesting creativity augmentation.
Quote: "There is no doubt that this machine-in-the-loop creative process would become the primary choice for novices and professionals when developing creative artefacts. However, will humans become addicted to this creative mode and lose the ability of sole creation, and eventually get limited by machines' imagination?"
Source: FRA A3
Addresses the role of AI in society and the relationship between humans and AI, including AI ubiquity, solution-oriented AI, human-AI divide, human stewardship, human-centredness, and trust. Concerns frequently revolved around power, agency, and positioning.
7 out of 10
Abstracts explored AI-Human Relationship
Enterprise Process Flow
Human Creativity
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AI Integration
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Shifting Creative Tasks
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New Human-AI Roles
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Evolving Autonomy Concerns
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Examines the anticipated societal and human experience changes due to Creative AI. This includes increased teamwork, 'experience bubbles' from hyper-personalization, and impacts on healthcare, coding, and legislation.
FRA A1: Legislative Responses to AI
Abstract A1 envisioned a future where governments globally mandated that new Generative Machine Learning (GML) systems must be trained on 'clearly human created' data, effectively banning models trained on their own output. This stemmed from concerns about GML systems rendering human creativity obsolete.
Quote: "This caused immense concern among both researchers and politicians as it became glaringly apparent that humans were training GML systems that were ultimately rendering human creativity obsolete. In an effort to combat this, governments across the globe agreed to make it a requirement that all new GML systems be trained using data that could be identified as 'clearly human created', effectively banning the use of models being trained on data that they themselves had previously generated."
Source: FRA A1
Highlights how current and past conditions, both in design and institutional aspects, were projected into future scenarios. This includes existing regulatory structures, economic organization, and power structures, with a tendency towards reactionary rather than anticipatory ethical reflection.
Primarily Reactionary
Nature of Ethical Reflection in FRAs
FRA B7: Musical Labor and Corporate Interests
Abstract B7 critically explored how musical labor continues to evolve in ways that circumvent AI, and how corporate players influence the building of AI systems. This projected current power dynamics and economic structures into the future of creative industries.
Quote: "In this paper we study how musical labor continues to move to practices so extreme they are outside the purview of AI, and the interests of the corporate players building such systems. We conduct ethnographic work in niche music communities of Vienna, Stockholm, and Trumpeoria DC."
Source: FRA B7
Covers implicit and explicit notions of what is considered 'good' in future AI development, including cultural diversity, environmental awareness, accountability, and human wellbeing. Human wellbeing and accountability were central concerns.
FRA B8: AI-Based Art Therapy for Wellbeing
Abstract B8 focused on the future of healthcare, implicitly assuming that improving human wellbeing through AI is a desirable goal. It specifically proposed AI-based art therapy using generative image, music, and audiovisual environments to stimulate emotional and cognitive healing.
Quote: "A key element of this approach is AI-based art therapy, where generative image, music, and immersive audio-visual environments are crafted to stimulate emotional and cognitive healing, engaging patients in experiences that foster neuroplasticity and resilience."
Source: FRA B8
Calculate Your Potential AI Impact
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Estimated Annual Savings
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Strategic Roadmap for Ethical AI Integration
Implement a forward-thinking approach to Creative AI, integrating ethical considerations from design to deployment. Our phased roadmap ensures responsible and innovative AI adoption.
Phase 1: Deep Dive Workshop & Ideation
Engage diverse stakeholders in intensive workshops to identify latent ethical concerns and unarticulated aspirations for Creative AI. Utilize speculative methods to expand imaginative horizons beyond current trends.
Phase 2: Multi-Perspective Ethical Framing
Systematically analyze identified concerns through the ATE framework (Technology, Artefact, Application). Ensure a holistic view, integrating de-colonial, feminist, and more-than-human perspectives to challenge dominant power structures.
Phase 3: Futures Literacy Development
Facilitate exercises to build 'futures literacy' among participants, helping them to critically examine their own assumptions and re-imagine alternative futures for Creative AI. Document concerns, aspirations, and imaginaries into a comprehensive knowledge base.
Phase 4: Design Guideline & Policy Recommendations
Translate ethical insights and preferred futures into actionable design guidelines and policy recommendations for Creative AI development. Emphasize proactive integration of ethical considerations from the earliest stages of research and design.
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