A Beautiful Mind: Principles and Strategies for AI-Augmented Human Reasoning
This addresses the problem of maintaining human control in AI systems for users, but it is incremental as it builds on existing human-AI interaction concepts.
The paper tackles the risk of reduced human agency in AI interactions by proposing a human-centered augmented reasoning paradigm, outlining principles and interaction modes to enhance human reasoning.
Amidst the race to create more intelligent machines there is a risk that we will rely on AI in ways that reduce our own agency as humans. To reduce this risk, we could aim to create tools that prioritize and enhance the human role in human-AI interactions. This paper outlines a human-centered augmented reasoning paradigm by 1. Articulating fundamental principles for augmented reasoning tools, emphasizing their ergonomic, pre-conclusive, directable, exploratory, enhancing, and integrated nature; 2. Proposing a 'many tasks, many tools' approach to ensuring human influence and control, and 3. Offering examples of interaction modes that can serve as bridges between human reasoning and AI algorithms.