Human-machine synergy: Bringing humans and autonomy into balance.

Prof. Dr. David Garlan
Carnegie Mellon University

Abstract: As the systems that we depend on become increasingly autonomous, a critical challenge is to understand how to engineer systems where humans and systems can work together synergistically to achieve their common goals. Adaptive systems research has largely focused on replacing humans with intelligent automation, thereby reducing the cost of operation, the likelihood of human error, and the time to put a course of adaptation into action. But for many such systems it is not possible or desirable to completely eliminate human involvement in adaptation. In this talk I explore some of the challenges in achieving an appropriate balance, and outline some promising directions that research might take to address these challenges.

Bio: David Garlan is a Professor of Computer Science in the School of Computer Science at Carnegie Mellon University, where he has been on the faculty since 1990. He received his Ph.D. from Carnegie Mellon in 1987 and worked as a software architect in industry between 1987 and 1990. His interests include software architecture, self-adaptive systems, formal methods, and cyber-physical systems. He is a co-author of two books on software architecture: "Software Architecture: Perspectives on an Emerging Discipline", and "Documenting Software Architecture: Views and Beyond." In 2005 he received a Stevens Award Citation for “fundamental contributions to the development and understanding of software architecture as a discipline in software engineering.” In 2011 he received the Outstanding Research award from ACM SIGSOFT for “significant and lasting software engineering research contributions through the development and promotion of software architecture.” He is a Fellow of the ACM and the IEEE.

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