Visual Summary of Ethical AI
Harvard Law School
Mar-May 2019
Three Months
Design brief
I worked with Prof. Jessica Fjeld and her team from Harvard Law School Cyberlaw Clinic at the Berkman Klein Center to visualize the Categories of AI Principles based on literature.
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This visualization presents thirty-two sets of principles side by side, enabling comparison between efforts from governments, companies, advocacy groups, and multi-stakeholder initiatives.
It highlights eight shared themes: accountability, fairness and non-discrimination, human control of technology, privacy, professional responsibility, promotion of human values, safety and security, and transparency and explainability--and documents where reference is made to international human rights. You can view the final poster below.
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This work was featured in Berkman Klein Center For Internet & Society's blog on 7 June, 2019.
Media coverage
Venture Beat magazine
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USA News Hub
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Process​ and Iterations
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The dataset was manually compiled for 32 unique publications across the world.
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The visualization aimed to showcase the association of the documents with various other attributes like the 'Categories of AI Principles', framework, Actor, Nature of the Actor and target audience.
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Ideation​
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I explored various possibilities to visualize the given data that best communicates the goals. We finally went ahead with a circular map #5 which visualized all the relevant data in the most compact way possible.
1/ Association Maps
#1
#3
#2
#4
#5
2/ Visual Portraits
#6
#7
#8
