I know you didn't write this (ammil.industries)

A recent exploration into the use of AI-generated content, highlighted in a Harvard Business Review article, has introduced the concept of "workslop," where reliance on AI for drafting materials has inadvertently increased the burden of verification for recipients. In one illustrative case, a co-worker presented a comprehensive project plan generated by an AI model without disclosing its origin, prompting concerns over the authenticity and effort behind the work. This phenomenon reflects a notable shift in how professionals engage with AI tools—while AI can streamline the writing process, it also raises questions about accountability and the integrity of content shared among colleagues. The implications for the AI/ML community are profound. As professionals increasingly turn to AI for assistance, the principle of transparency becomes crucial. The ease of generation creates a significant verification overhead, akin to the cryptographic systems that are straightforward to verify but complex to compute. Writers and engineers alike are grappling with the balance between leveraging AI for efficiency while ensuring that they remain knowledgeable and accountable for their own work. This evolving landscape underscores the need for clear guidelines on responsible AI use, encouraging individuals to actively engage with their writing rather than solely rely on AI generation, thus fostering a culture of authenticity and collaboration in professional environments.