The starting point
Start with a change that would matter in daily life. Define the action, the situation in which you will try it, and how you will decide whether it helps. A clear, modest plan is easier to revise than a general demand to become a better person.
What is hypothetical
This discussion of personalized, adaptive growth plans includes a design scenario from the manuscript. Read proposed capabilities conditionally. A real product would need evidence for its exact use, a clear account of errors and limitations, and meaningful control for the person using it. An engaging demonstration alone would not establish a health or learning benefit.
Personalized, Adaptive Growth Plans
Algorithmic Personal Growth platforms could use AI to create highly individualized growth plans, drawing on a range of data points such as habits, personality traits, and goals. Unlike traditional self-help resources, these platforms could offer targeted suggestions that adapt over time based on your progress and evolving needs.
For example, if you’re working on becoming more assertive in the workplace, the platform might recommend specific exercises or scenarios to practice assertiveness, offering real-time feedback based on your responses. Over time, as you demonstrate progress, the AI could adjust its recommendations to focus on new areas of growth.
Imagine an app that recognizes when you struggle with productivity in the afternoon. Based on your routine, the AI might suggest scheduling deep work in the morning and incorporating short breaks in the afternoon to recharge. You would need to test whether the suggestion actually fits your responsibilities and preferences.
Treat it as a partner in your journey, but remember that you are in control of your growth.
Put the idea in context
A proposed personal-growth platform might offer feedback based on selected patterns in a user’s records. These platforms could monitor aspects like mood, productivity, and engagement, offering immediate suggestions to help you stay on track.
Sources & further reading
- NIST: Generative artificial intelligence risk profilenvlpubs.nist.gov