IEEE Technology and Society Magazine
June, 2021
Explaining the Principles to Practices Gap in AI -
investigating six potential explanations for the principles-to-practice gap in Responsible AI: 1) a misalignment of incentives; 2) the complexity of AI’s impacts; 3) a disciplinary divide; 4) the organizational distribution of responsibilities; 5) the governance of knowledge; and 6) challenges with identifying best practices.
We emphasize the AI impact assessment process as one promising strategy, which we discuss in the context of AI used for forest ecosystem restoration.
Berkeley BIDS Computational Social Science Forum
April 26, 2021
A Relational View on Ethics and Technology:
Bringing awareness to our inherent positionality, we gain new perspectives about the relational nature of (un)intended consequences of AI systems.
Giving examples from a recent ethnographic study in the intersection of Organizational Studies and the work on ensuring the responsible development and use of AI, exploring the so-called socio-technical context - the lived experience of the people actively involved in the AI ethics field.
Learning from the field of Participatory Relational Design, we investigate what can we learn from the design of social movements (specifically in the Global South) about the way we work to ensure better alignment between AI systems and human and ecological well-being.
Harvard Berkman Klein Center & MIT Media Lab
January - May, 2018
I was a mentor at the Assembly: Ethics and Governance of AI program led by Professor Jonathan Zittrain and Professor Joi Ito.
Working closely with the program participants gave me an in-depth understanding of the rising legal, policy, and regulatory considerations of investigating the unintended consequences of AI-driven systems.
Sustainability, justice, and socio-ecological dimensions of AI
March, 2022 - ongoing
What if we could explore the complex dynamic relationship between technical AI artifacts and environmental ecosystems by slowing down AI with speculative friction? To explore this question, I co-organized an interdisciplinary workshop on the (eco)systemic challenges in AI at the Hybrid Human AI Conference in Amsterdam, June 14th 2022. Our goal was to center socio-ecological perspectives in the design, development, and deployment of AI.
On March 24th, 2023, I'm hosting a panel discussion at the Mozilla MozFest event centered on the emergent need to consider the relationship between algorithmic systems, the sustainability of computing infrastructure, and arguments for climate and environmental justice. How do we empower improved transparency about the carbon footprint of AI systems as well as broader sustainability concerns with regards to their downstream impacts on human decision-making, nonhuman life, and ecosystems? For example, consider environmental and climate justice dimensions of the way AI systems are designed, developed, and deployed in the built environment or the way opaque AI systems contribute to climate misinformation.
Summary of my work with Partnership on AI
March 8, 2021
Challenges for Responsible AI Practitioners and the Importance of Solidarity - common obstacles faced by the practitioners we interviewed included lack of accountability, ill-informed performance trade-offs, and misalignment of incentives within decision-making structures. These obstacles can be understood as a result of how organizations answer four key questions: When and how do we act? How do we measure success? What are the internal structures we rely on? And how do we resolve tensions? These are questions that every organization must have a process for answering when developing responsible AI practices. We employed a systems thinking forecasting activity to map the possible paths forward, which we describe in our CSCW publication here.
Springer Special Issue Publication
December, 2020
I was a lead guest editor for the Special Issue: Intersections of Artificial Intelligence and Community Well-Being. The key themes among the contributions to the publication include:
- Understanding and measuring the impact of AI on community well-being.
- Engaging communities in the development and deployment of AI.
- The role of AI systems in the protection of community well-being.
Venturebeat Women in AI Awards
July 15, 2020
Nominated for the second annual Venturebeat Women in AI Awards
Startup co-founder in the intersection of AI and workforce automation
2012 - 2014
Won multiple competitions with the company Hutgrip where I was the technical co-founder. The startup was about helping small and medium sized manufacturing companies prevent failures on the production line by utilizing statistics and regression tools. My role included identifying what are the problems in different manufacturing processes, analyzing if our software cloud-based tool can provide data insights to help solve them and measure the results. Read a white paper about the company here.
Amplify Partners
2014
Connected Devices Fellow at Amplify Partners - an early-stage venture capital fund in Bay Area focused on Data Science.
Singularity University Global Impact Competition for Central and Eastern Europe
2012
Recognized as one of the two finalists who received a scholarship of $25,000 for the Singularity University Graduate Studies Program in 2012.
Microsoft Imagine Cup Global Finals
2011
Reached the global finals in the biggest Microsoft student technology competition with a game about environmental sustainability. The project qualified in the top five in the World in the Game Design category.
