Making AI-Infused Products and Services More Legible

abstract:The increasing availability of large data sets has initiated a resurgence in artificial intelligence (AI) research. Today AI is integrated into a wide variety of so-called smart products to personalize user experiences. Smart technologies are typically designed for ease of use, with their complex underlying procedures (intentionally) obfuscated; explaining particular outcomes is hampered by their inherent ambiguity. This lack of legibility leads to misconceptions about how AI works. Through design research, the authors address the challenge of AI legibility by designing AI iconography as an accessible way to communicate and better understand the role AI and data increasingly play in our everyday interactions.

[1]  P. Coulton,et al.  Design (Non) Fiction: Deconstructing/Reconstructing the Definitional Dualism of AI , 2021, International Journal of Film and Media Arts.

[2]  Paul Coulton,et al.  The Process of Gaining an AI Legibility Mark , 2020, CHI Extended Abstracts.

[3]  Madhulika Srikumar,et al.  Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI , 2020, SSRN Electronic Journal.

[4]  Paul N. Bennett,et al.  Guidelines for Human-AI Interaction , 2019, CHI.

[5]  Kush R. Varshney,et al.  Increasing Trust in AI Services through Supplier's Declarations of Conformity , 2018, ArXiv.

[6]  Matthew Hutson,et al.  Has artificial intelligence become alchemy? , 2018, Science.

[7]  Emilee J. Rader,et al.  Explanations as Mechanisms for Supporting Algorithmic Transparency , 2018, CHI.

[8]  Christopher T. Lowenkamp,et al.  False Positives, False Negatives, and False Analyses: A Rejoinder to "Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks" , 2016 .

[9]  J. Burrell.  How the machine ‘thinks’: Understanding opacity in machine learning algorithms , 2016, Big Data Soc..

[10]  Chunxiu Qin,et al.  From action icon to knowledge icon: Objective-oriented icon taxonomy in computer science , 2015, Displays.

[11]  William W. Gaver.  What should we expect from research through design? , 2012, CHI.

[12]  Siné McDougall,et al.  What’s in a name? The role of graphics, functions, and their interrelationships in icon identification , 2009, Behavior research methods.

[13]  Tom Rodden,et al.  Exploding the interface: experiences of a CSCW network , 1993, INTERCHI.

[14]  Jorge Frascara,et al.  Graphic Design: Fine Art or Social Science? , 1988 .

[15]  J. Trujillo,et al.  An Approach to Automatically Detect and Visualize Bias in Data Analytics , 2020, DOLAP.

[16]  James Noble,et al.  A case for iconic icons , 2006, AUIC.