Power to the People: The Role of Humans in Interactive Machine Learning

• Published in: The AI magazine Vol. 35; no. 4; pp. 105 - 120
• Main Authors: Amershi, Saleema, Cakmak, Maya, Knox, W. Bradley, Kulesza, Todd
• Format: Journal Article
• Language: English
• Published: La Canada American Association for Artificial Intelligence 22.12.2014; John Wiley & Sons, Inc
• Subjects: Algorithms; Artificial intelligence; Behavior; Case studies; Collaboration; Design; End users; Feedback; Human-computer interaction; Interactive computer systems; Interactive learning; Machine learning; Proteins; Recommender systems; Subject specialists; Users; New York

Systems that can learn interactively from their end‐users are quickly becoming widespread. Until recently, this progress has been fueled mostly by advances in machine learning; however, more and more researchers are realizing the importance of studying users of these systems. In this article we prom...