Making AI-Infused Products and Services More Legible

Author:

Pilling Franziska1ORCID,Ali Akmal Haider2ORCID,Lindley Joseph3ORCID,Gradinar Adrian4ORCID,Coulton Paul5ORCID

Affiliation:

1. Franziska Pilling, Lancaster University, Lancaster, U.K. Email: f.pilling@lancaster.ac.uk.

2. Haider Ali Akmal, Lancaster University, Lancaster, U.K. Email: h.a.akmal@lancaster.ac.uk.

3. Joseph Lindley, Lancaster University, Lancaster, U.K. Email: j.lindley@lancaster.ac.uk.

4. Adrian Gradinar, Lancaster University, Lancaster, U.K. Email: a.gradinar@lancaster.ac.uk.

5. Paul Coulton, Lancaster University, Lancaster, U.K. Email: p.coulton@lancaster.ac.uk.

Abstract

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.

Publisher

MIT Press

Subject

Computer Science Applications,Music,Engineering (miscellaneous),Visual Arts and Performing Arts

Reference34 articles.

1. “How the Machine ‘Thinks’: Understanding Opacity in Machine Learning Algorithms,”;Burrell;Big Data & Society,2016

2. “Researching AI Legibility through Design,”;Lindley,2020

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