From AI’s knowledge and judgment to joint activity with people
The scope covered extends to what knowledge AI uses, how it judges and acts with that knowledge, and what results it produces in its relationships with people and with other AIs.
Research areas
What questions are studied?
There are eight research areas, and they overlap. Several fields can take part together in a single project.
08RESEARCH AREAS
The eight areas and their central questions
| Research area | Central question | Examples of connected scholarship |
|---|---|---|
| Knowledge and Meaning | How are the sources of knowledge and the conditions for applying it maintained? | Epistemology · linguistics · knowledge management |
| Reasoning and Judgment | On uncertain evidence, which conclusions are chosen and when is judgment withheld? | Logic · statistics · decision science |
| Action and Learning | How are the results of actions checked and reused? | Learning sciences · control theory · behavioral science |
| Collaboration and Organization | How are roles and information divided and coordinated? | Organizational behavior · sociology · economics |
| Humans and AI | How are judgment and authority shared? | Human–computer interaction · human factors · psychology |
| Creativity and Innovation | How are problems and alternatives framed anew? | Strategy · innovation · design · creativity research |
| Trust and Responsibility | On what grounds are the scope of use and responsibility set? | Ethics · law · science and technology studies |
| Evaluation and Empirical Validation | How are actual effects, costs and failures checked? | Measurement theory · experimental design · causal inference |
Lines of inquiry
What does each line of inquiry ask?
Four lines of inquiry.
AI’s Knowledge and Judgment
Asks under what conditions AI uses knowledge, and how it judges when things are uncertain and when goals conflict.
Questions in this line of inquiry
- What is needed for several AIs to use the same words with the same meaning?
- How should judgments be made when the evidence is uncertain?
- When goals conflict, which comes first?
AI’s Action and Learning
Asks how AI carries out plans, learns from experience, and how far things can be entrusted to it.
Questions in this line of inquiry
- What should be checked when AI makes plans and acts?
- What does it mean for AI to learn from experience?
- How far should things be left to AI, and when should one intervene?
AI’s Collaboration and Organization
Asks how several AIs divide roles, judge together with scattered information, and coordinate one another’s work.
Questions in this line of inquiry
- How should roles be divided among several AIs?
- How can judgments be made together when information is scattered?
- How should the work of several AIs be coordinated?
Work That People and AI Do Together
Asks how people and AI share judgment and authority, solve problems together, and what becomes of people’s capability in work and learning.
Questions in this line of inquiry
- How should people and AI share judgment and authority?
- When a problem is defined anew, what can be compared?
- What becomes of people’s capability when they work and learn with AI?