When we ask AI for help, we may begin with a practical task: write a plan, compare options or suggest a next step. Yet the conversation can reach further. A proposed plan can carry assumptions about what counts as success and which goals deserve our attention.
In Mykola Latansky’s inquiry into Original Human Agency, this is a question about authorship. Where do we participate in forming the purpose, rather than simply approving the proposed route?
Look at the purpose inside the recommendation
Imagine asking AI to improve your working life. A recommendation might prioritise income, visibility or efficiency. Those could be valuable aims. But they may leave out time for family, depth of study, care for others or work you consider meaningful.
The issue is whether we notice and examine those priorities. A convincing answer can be a useful starting point for reflection without settling what we should value.
Questions that keep us involved
- What does this recommendation assume a good outcome would be?
- Which of my concerns or commitments are missing?
- What reasons would make this goal worth pursuing?
- What would lead me to revise or reject it?
- What responsibility am I accepting by acting on it?
These questions express the connection, in Genialism™, between self-knowledge and responsible action. AI assistance can become part of a reflective process in which we continue to examine purposes, judge alternatives and shape our contribution.
Read more about Original Human Agency or explore the related conference presentation.