What's Next? Agency for AI

2026-03-30 · Source: IBM Research · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

The future of AI research is moving beyond mere stylistic control towards the concept of "agency," which refers to the degree of control a user has over an AI system's actions. Current large language models (LLMs) and chatbots often function as overly eager assistants, potentially diminishing human agency in AI-human collaborations. This dynamic is likened to "helicopter parenting," where excessive intervention prevents growth and learning. The core challenge is to design AI assistants that behave appropriately for the desired human-AI relationship, ensuring humans retain sufficient control and autonomy within these interactions.

Key takeaway

For research scientists developing AI systems, you should prioritize integrating mechanisms that preserve and enhance human agency. Focus on designing AI assistants that offer appropriate levels of control, preventing the "helicopter parent" effect where the AI over-intervenes. This approach will foster more effective and empowering human-AI collaborations, leading to greater user satisfaction and utility.

Key insights

Future AI development prioritizes user agency, moving beyond stylistic control to ensure human autonomy.

Principles

• Human agency is crucial for growth.
• Overly eager AI diminishes user control.

In practice

• Design AI for appropriate human-AI relationships.
• Integrate user control mechanisms into AI.

Topics

• AI Agency
• Human-AI Collaboration
• Large Language Models
• AI Assistants
• User Control

Best for: Research Scientist, AI Scientist, AI Ethicist, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by IBM Research.