Designing Data-informed Intelligent Systems to Create Positive Impact

Format: Papers, RSD10, Topic: Learning & Education, Topic: Methods & Methodology

Design Methods, Questions and Recommendations

J. Derek Lomas, Nirmal Patek, and Jodi Forlizzi

This paper explores several approaches for designing data-informed intelligent systems to create a positive impact. Two contrasting case studies in K12 education are used to illustrate design methods, questions and recommendations. The first case study addresses the poverty achievement gap in America and shows how product data can be used to identify areas of inequity in digital education. The second case study looks at the unintended consequences of automating data-driven optimization in the context of a digital math game. Together, the two case studies reveal generalizable knowledge that supports the design of intelligent feedback loops to create a positive impact. Further, this paper considers both the benefits and limitations of data feedback in complex social-technical systems.

Keywords: Smart Systems, Learning Organizations, Cybernetics, Poverty, Education, Artificial Intelligence, Goodhart’s Law




Citation Data

Author(s): James Lomas, Nirmal Patel and Jodi Forlizzi
Title: Designing Data-informed Intelligent Systems to Create Positive Impact
Published in: Proceedings of Relating Systems Thinking and Design
Article No.:
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First published: 3 September 2021
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Proceedings of Relating Systems Thinking and Design (ISSN 2371-8404) are published annually by the Systemic Design Association, a non-profit scholarly association leading the research and practice of design for complex systems: 3803 Tønsberg, Norway (922 275 696).


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