AI writing just isnt good enough

Limitations of AI Writing

• AI-generated writing is increasingly recognized as inferior despite initial perceptions of competence.
• Used frequently across law, consulting, and education for drafting documents.

Key Characteristics of AI Writing

• Prose is fluent, confident, but often lacks depth and idiosyncrasy.
• Commonly uses clichéd phrases and patterns, leading to predictability.
• Writing resolves issues smoothly without friction, lacking genuine voice.

Dependence on Statistical Prediction

• AI models generate text based on word probability, limiting their capability to innovate or express complexity.
• Expected to exhibit detectable common patterns for the foreseeable future.

Implications for Professional Writing

• The focus should shift from whether AI output looks polished to the appropriateness of AI labels on documents.
• Professionals (e.g., lawyers, consultants) are expected to infuse documents with personal judgment and experience.

The Concept of Practical Wisdom (Phronesis)

• Defines the human ability to navigate complex, ambiguous situations beyond scripted rules.
• AI cannot replicate human judgment or emotional intelligence vital for nuanced decision-making.

Educational Impact

• Assignments are designed to develop critical writing skills and judgment in students, which AI cannot fully emulate.
• Raises the question of the significance of AI-produced content in various contexts.