If you are asking for human attention, demonstrate human effort

A Hacker News post emphasizes that when requesting human attention, individuals should demonstrate human effort, particularly when sharing AI-generated work with colleagues. This approach aims to foster consideration and maintain human touch in collaborative environments, especially as AI tools become more prevalent.

The discussion originated from concerns about the increasing use of AI to generate code, documentation, and other work outputs, which can lead to fatigue and perceptions of inconsideration among team members. An anonymous user shared an experience where a teammate sent AI critique without reading it, questioning the value of sharing AI output that hasn’t been personally reviewed. The principle proposed is clear: if you want someone to pay attention, you must show effort—review, add commentary, and clearly label AI content.

This approach aims to balance efficiency with respect for colleagues’ limited attention spans. By demonstrating human effort, team members can foster trust, avoid fatigue, and keep a human touch in digital collaboration. The post also emphasizes transparency, with AI-generated content being labeled as such and accompanied by personal insights.

Impact on Team Dynamics and Collaboration Etiquette

HTML: As AI tools become embedded in workflows, this principle encourages more considerate sharing practices. It highlights the importance of respecting colleagues’ time and attention, which are increasingly scarce. Adopting this approach can improve team trust, reduce fatigue, and preserve human connection in digital work environments, making collaboration more effective and humane.

Growing Use of AI in Software Development and Communication

HTML: The rise of AI in coding, documentation, and communication has transformed workflows, offering efficiency but also raising new etiquette questions. Previously, sharing unreviewed AI output was less common, but now it is widespread, prompting discussions about respectful practices. This development reflects broader concerns about AI fatigue and the importance of maintaining human effort as a marker of respect and authenticity in team settings.

“If you are requesting human attention, demonstrate human effort.”

— an anonymous researcher on Hacker News

Unclear How Widely This Practice Will Be Adopted

HTML: It is not yet clear how many teams or organizations will adopt this principle universally. The discussion remains primarily within the tech and developer communities, and broader workplace adoption is still uncertain.

Potential for Formal Guidelines and Cultural Shift

HTML: As AI integration deepens, organizations may develop formal etiquette guidelines emphasizing human effort. Future discussions could lead to cultural shifts in collaborative practices, with increased emphasis on transparency and respect. Monitoring how teams implement these principles will be key to understanding their impact.

Key Questions

Why is demonstrating human effort important when sharing AI content?

HTML: It shows respect for colleagues’ limited attention, fosters trust, and maintains a human touch in digital collaboration.

What are some ways to demonstrate human effort when using AI tools?

HTML: Reviewing AI output before sharing, adding personal commentary, labeling AI-generated content, and providing context or insights.

Could this approach slow down workflows that rely heavily on AI?

HTML: While it may introduce some additional steps, it aims to balance efficiency with consideration, ultimately improving team cohesion.

Is this principle applicable outside of software development?

HTML: Yes, it can be relevant in any collaborative environment where AI-generated content is shared, emphasizing respect and transparency.

Will this practice become a formal standard in workplaces?

HTML: It is currently a community-driven idea; whether it becomes formalized depends on organizational culture and evolving norms.

Source: Hacker News