Visual Summary of Ethical AI
Harvard Law School
I worked with Prof. Jessica Fjeld and her team from Harvard Law School's Cyberlaw Clinic to visualize the Categories of AI Principles based on literature.
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.
This work was featured in Berkman Klein Center For Internet & Society's blog on 7 June, 2019.
Here is how it turned out finally:
Process and Iterations
The dataset was manually compiled for 32 unique publications across the world.
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.
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
2/ Visual Portraits
This was a pro-bono project for Harvard Law School in collaboration with Northeastern University.
Graphic design, data visualization, infographics
Sketching on pen & paper, MS Excel, Adobe Illustrator