Speaker(s)
Bogdana Rakova
Computational Social Science Forum
Date: Monday, April 26, 2021
Time: 12:00-1:30 PM Pacific Time
A Relational View on Ethics and Technology
Slides (5.4 MB PDF)
Speaker: Bogdana Rakova, Data Scientist, Accenture Responsible AI and Lead Guest Editor for a Springer Special Issue publication: AI & Community Well-being
Abstract: Bringing awareness to our inherent positionality, this talk will start by acknowledging that no view is a view from nowhere and explore what that means in the world of artificial intelligence (AI). Giving examples from a recent ethnographic study in the intersection of organizational structure and the work on ensuring the responsible development and use of AI, we will investigate the so-called socio-technical context - the lived experience of some of the people actively involved in the AI ethics field. We will then explore what the future holds for the intersection of ethics and technology by embracing the pluriverse and bringing in perspectives from the field of community well-being. The Springer Special Issue publication on the intersection of AI and community well-being has been made available for free access through the Happiness Alliance nonprofit, which has been foundational in working to bridge the gaps between academic research and community engagement and well-being efforts in practice. Please feel free to access/download the articles (near the end of the page) and reach out to me if you want to learn more or contribute.
The Computational Social Science Forum is an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. Weekly meetings are hosted by researchers from BIDS and D-Lab, and participants engage in a variety of activities such as presentations of work in progress, discussions and critiques of recent papers, introductions to new tools and methods, discussions around ethics, fairness, inequality, and responsible conduct of research, as well as professional development. We welcome social scientists researchers with interests in data science methods and tools, and data scientists with applications or interests in public policy, social, behavioral, and health sciences. Participants include graduate students, postdocs, staff, and faculty, and members are encouraged to attend regularly in order to foster community around improving computational social science research, supporting the development and research of group members, and fostering new collaborations. This Forum is organized as part of the Computational Social Science Training Program, and interested UC Berkeley community members are invited to use this registration form to receive the schedule and access links. Please contact css-t32@berkeley.edu for more information.