Title
Programming by Example: The Human Face of AI
Abstract
It is argued that “human-centredness” will be an important characteristic of systems that learn tasks from human users, as the difficulties in inductive inference rule out learning without human assistance. The aim of “programming by example” is to create systems that learn how to perform tasks from their human users by being shown examples of what is to be done. Just as the user creates a learning environment for the system, so the system provides a teaching opportunity for the user, and emphasis is placed as much on facilitating successful teaching as on incorporating techniques of machine learning. If systems can “learn” repetitive tasks, their users will have the power to decide for themselves which parts of their jobs should be automated, and teach the system how to do them — reducing their dependence on intermediaries such as system designers and programmers. This paper presents principles for programming by example derived from experience in creating four prototype learners: for technical drawing, text editing, office tasks, and robot assembly. A teaching metaphor (a) enables the user to demonstrate a task by performing it manually, (b) helps to explain the learner's limited capabilities in terms of a persona, and (c) allows users to attribute intentionality. Tasks are represented procedurally, and augmented with constraints. Suitable mechanisms for attention focusing are necessary in order to control inductive search. Hidden features of a task should be made explicit so that the learner need not embark on the huge search entailed by hypothesizing missing steps.
Year
DOI
Venue
1992
10.1007/BF02472779
AI Soc.
Keywords
Field
DocType
teaching metaphor,programming by example,machine learning,instructible systems,attention focusing,intentional stance,programming,system design,inductive inference,artificial intelligence
Intermediary,Inductive reasoning,Computer science,Intentional stance,Knowledge management,Human–computer interaction,Programming by example,Learning environment,Artificial intelligence,Metaphor
Journal
Volume
Issue
ISSN
6
2
1435-5655
Citations 
PageRank 
References 
2
1.60
0
Authors
4
Name
Order
Citations
PageRank
Ian H. Witten1153461507.14
Bruce A. MacDonald246760.18
David Maulsby38020.32
Rosanna Heise472.32