AI Research Analysis
Losing Our Voice? Generative AI and the Degradation of Human Expression
This paper examines the implications of generative AI (GenAI) emulating human expression, i.e. human communication and human creative expression. While GenAI seems to offer benefits such as increased efficiency and productivity, its use raises significant practical and conceptual concerns: GenAI comes with the increased efforts of prompting, verification and editing, and causes the deskilling of its users. It also comes at a monetary cost and causes various ethical issues e.g., a lack of authenticity. We further show that GenAI's fundamental issue is that it is by design not able to output human expression but only human-like expression. Using AI for tasks that are fundamentally about communicating is replacing communication with something that is not communication. Finally, we show that the consequences of the use of GenAI cannot be avoided on an individual level by those individuals avoiding the use of GenAI and will necessarily lead to an erosion of human expression in general. This is because GenAI: will lead to a distrust in human expression when the authenticity of authorship over time becomes unclear; will cause a devaluation of human expression when human expression can be mimicked with less effort by GenAI; and, will discourage human expression altogether when GenAI has set the bar too high.
Authors: Scott Robbins, Inga Blundell
Publication: Minds and Machines (2026) 36:2
Key Takeaways for Enterprise Leaders
Generative AI is transforming how we work and communicate. While it promises efficiency, leaders must navigate its inherent limitations and profound societal impacts to harness its power responsibly without degrading authentic human engagement.
Deep Analysis & Enterprise Applications
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Generative AI outputs, while human-like, fundamentally lack the genuine desires, emotions, and intentions that define authentic human expression. This conceptual distinction is critical for enterprises seeking to deploy AI ethically.
| Aspect | Human Expression | GenAI Emulation |
|---|---|---|
| Origin of Output | Rooted in genuine emotions, desires, opinions, and intent. | Mimics patterns from training data; lacks intrinsic desires or emotions. |
| Effort & Commitment | Demonstrates care, builds trust, and signifies personal investment. | Reduces perceived effort for user; can lead to ethical concerns regarding disclosure and authenticity. |
| Control & Authorship | Humans are meaningfully in control of their original output and accountable for it. | Outputs are generated, not truly authored; human oversight for verification and editing is critical. |
| Purpose & Value | To communicate genuine feeling, intent, or perspective; valued for its unique human origin. | To produce human-like content efficiently; risks being a "category mistake" when called true art or communication. |
The Cost of Unverified AI Output: Legal Ramifications
In a striking example highlighting the need for rigorous verification, two lawyers at the law firm Morgan and Morgan made headlines when a judge found that their lawsuit against Walmart contained fictitious case citations. The lawyers admitted these errors were caused by their reliance on an LLM, underscoring the critical importance of human oversight and factual validation even when using AI for seemingly straightforward tasks. This incident demonstrates that 'time-saving' AI tools can introduce new forms of effort and risk, particularly when used in contexts demanding high accuracy and accountability. Enterprises must implement robust verification protocols to mitigate significant reputation and legal risks.
Reference: Merken, 2025
Beyond the conceptual, GenAI introduces practical challenges like increased user effort and deskilling, alongside broader societal concerns such as distrust, devaluation, and the potential discouragement of human expression.
Enterprise GenAI Integration: The Hidden Workflow
A preliminary study revealed that a staggering 92% of students surveyed admitted to using Generative AI for their university essays (Weale & correspondent, 2025). This high adoption rate highlights not only the perceived utility of GenAI among students but also raises concerns about academic integrity, the future of human writing skills, and the potential for widespread reliance on AI that could discourage authentic human expression.
The ubiquitous presence of human-like AI outputs fosters distrust in genuine human creations, leading to a devaluation of human expression and potentially discouraging individuals from engaging in authentic creative or communicative acts.
Advanced ROI Calculator: Human-Centric AI Deployment
Estimate the potential return on investment while considering the unique challenges of integrating GenAI into human-centric processes. Balance efficiency gains with the imperative to preserve authentic expression and human skill.
Strategic AI Implementation Roadmap
Our phased approach ensures responsible and effective GenAI integration, prioritizing human authenticity, ethical deployment, and sustainable value creation.
Phase 1: Discovery & Strategy Alignment
Initial consultations to understand current expressive workflows, identify key AI application areas, and assess your organization's AI readiness. We define strategic objectives for GenAI integration that align with your values.
Phase 2: Pilot Program & Ethical Framework Development
Implement GenAI in a controlled pilot environment. Develop robust ethical guidelines, disclosure protocols, and verification processes to maintain authenticity, trust, and prevent deskilling.
Phase 3: Integration & Skill Augmentation
Roll out GenAI across relevant departments, focusing on augmenting human capabilities rather than replacing core expression tasks. Provide comprehensive training to upskill employees in advanced prompting, critical evaluation, and ethical AI use.
Phase 4: Continuous Monitoring & Value Optimization
Regularly monitor GenAI outputs for quality, authenticity, and ethical compliance. Optimize prompts, fine-tune models, and ensure GenAI serves to enhance, not degrade, human expression, driving long-term value.
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