MFA Thesis [In Progress]
Redesigning Artificial Intelligence for Inclusivity
MFA Thesis, School of Visual Arts Products of Design, 2019
Ideation, Design Strategy, User Research, Expert Research, Workshop Creation and Facilitation, Visual Design, Voice UI, Digital Product Design
With guidance from Allan Chochinov, Andrew Schloss, Jennifer Rittner, and Emilie Baltz
Can Artificial Intelligence Make Us More Human?
I believe that artificial intelligence (AI) and machine learning have the potential to bring humanity together. But currently, AI is driving us apart. Left unchecked and unregulated, AI and machine learning threaten to exacerbate societal inequalities and perpetuate systemic racial and gender biases. How might we integrate specific design choices into AI to promote inclusivity that brings us closer together?
We are at a critical point in the development of this technology. With AI still in its infancy, the role of this technology is still malleable and can be directed. My work dissects the use of everyday artificial intelligence, such as the ubiquitous use of streaming services, navigation apps, and digital voice assistants. It explores the values embedded in this technology that “augments” our lives so seamlessly. It offers a counterperspective, a challenging of the status quo, and a rewriting of technology’s dominant narrative. I am here to ask the question of “what if?” as a cautionary interrogation, but ultimately, as a hopeful provocation.
THE BIG QUESTIONS
Ethics and Morality in Machine Learning
Where is an algorithm’s moral compass?
As humans, we are narcissistic; we have a tendency to develop technologies that represent us. Machines become reflections of those who create them. Unfortunately, the groups that are creating this technology are extremely homogeneous. This project began as an investigation of bias in machine learning.
Technology is Not Neutral
I had the opportunity to talk with over 30 subject matter experts on the topics of artificial intelligence, bias, inclusivity, and technological socialization. This included conversations with machine learning engineers, ethical technologists, behavioral and developmental psychologists, activists, and PhD candidates.
Cross-Sector Workshop Encouraging Critical Discussion of Artificial Intelligence
In order for rising technologies to be more equitable, we need more people understanding them and discussing possibilities and consequences. AI is already impacting many sectors including healthcare, criminal justice, hiring and recruitment, and transportation.
On November 18, 2018, thirteen professionals from across seven industries gathered to discuss the future of artificial intelligence.
Participants explored the embedded values in ubiquitous AI-powered products and services today like Amazon Alexa, Spotify’s Discover Weekly, and customer service chatbots.
DIVERSIFYING VOICE UI
Utilizing the Scale of Smart Speakers
The adoption of smart speakers has skyrocketed over the last few years. According to TechCrunch, 41% of U.S. consumers now own a smart speaker. eMarketer, via a report by SuperAwesome, conveyed that 91% of kids ages 4 to 11 have access to a smart speaker, like Amazon Alexa, or digital assistant, such as Apple’s Siri.
What if we could use smart speakers to push an agenda of diversity and inclusion for the next generation? This is the central question to a project I created called Rookee.
Prioritizing Safety Over Profit
I envisioned a ridesharing community for women, designed by women. HUES features lower rates for users at certain times. Specifically, like after dark, so that safety can be affordable for women—making it a feasible choice. Because this is a women-forward community, it attracts a significant amount of women drivers. HUES drivers are known for speaking multiple languages to serve diverse communities.
Finally, HUES is accountable for users’ safety. At the end of a trip, it asks the user if they arrived home safely—a question women are often asked by their friends. Equipped with a 24/7 customer service line, HUES builds community on trust.
A DIY Hologram Projector for Children
Racial and gender bias are manifested in the product designs of technological devices. They skew minimal masculine, and sterile. In many ways, they feel uninviting and inaccessible.
How might we create a fun and challenging entry point for children—especially girls—to be exposed to rising tech?
Currently in Prototyping Phase
The Nostalgia Cafe: A Public Machine Learning Experience
Should we really fear artificial intelligence? AI has become notorious in media portrayals like 2001: A Space Odyssey, Ex Machina, and Westworld.
But what if AI could be used to foster human connection? What if robots and humans could live together peacefully?
The Nostalgia Cafe is an interactive participatory installation that merges the analog world with machine learning in a delightful way.
Currently in Concept Development