Engage, Design, Examine: Five Years of the Center for Technology, Society & Policy
The Center for Technology, Society & Policy (CTSP) is a multidisciplinary research and design/build center at UC Berkeley that brings together students, policymakers, advocates and community members to focus on the emergent social and policy issues arising from the development and adoption of technology. Over the past five years CTSP has funded 85 fellows working on 44 projects. This evening will present a selection of projects and fellows that showcase the breadth and depth of CTSP scholarship.
Come hear lightning talks from CTSP projects that address privacy concerns related to surveillance and policing technology in Oakland, emerging menstrual biosensing devices, systems for “matching” the unhoused with social services, the application of facial recognition software in hiring practices, and racial and income-based bias in crowdsourced data.
Meet more CTSP fellows, and hear about more projects, at the poster session and social hour following the talks!
Space is limited; advance registration is required. For security purposes, we will be closing registration 48 hours before the event and checking IDs; we cannot honor transferred tickets.
Increasing Transparency into the Capabilities of Surveillance and Policing Technologies: A Resource for Citizens and Cities
As cities undergo these often imperceptible changes to enhance policing capabilities and introduce ‘smart city’ initiatives that may infringe upon civil liberties, it is imperative for citizens to have a reliable resource to turn to for understanding the functions and implications of these technologies.
Assessing Race and Income Disparities in Crowdsourced Safety Data Collection
How can crowdsourced data be biased based on the required access to smartphones and the knowledge and desire to participate in data-gathering activities?
Menstrual Biosensing Survival Guide
A zine about menstrual biosensing technologies to help users protect their intimate data privacy and rethink assumptions of how these apps configure their users.
Coordinated Entry System Research and Development for a Continuum of Care in Northern California
A needs assessment and system recommendation around “matching” unhoused people to appropriate services. How can such systems handle values such as privacy, security, autonomy, dignity, safety, and resiliency?
Affect & Facial Recognition in Hiring
What happens when an automated understanding of human affect enters the real world, in the form of systems that have life-altering consequences?
Doors open, social hour
6:00 – 6:15 pm
Welcome from CTSP + PAIR
6:15 – 6:45 pm
CTSP Projects: 5 year recap
6:45 – 8:30 pm
Social hour + poster session
While you learn, enjoy light snacks and refreshments provided by Google.
Google San Francisco
345 Spear Street
San Francisco, CA 94105
Ticket Cancellation Policy
Due to security purposes, we must close registration/RSVP for our events 48 hours before the event. We kindly ask that if your plans change, please cancel your ticket on eventbrite at least 72 hours before the event so we can release spare tickets to our waitlist. Thank you!
About the Sponsor: Google People + AI Research (PAIR)
The past few years have seen rapid advances in machine learning, with new technologies achieving dramatic improvements in technical performance. But we can go beyond optimizing objective functions. By building AI systems with users in mind from the ground up, we open up entire new areas of design and interaction.
PAIR is devoted to advancing the research and design of people-centric AI systems. We're interested in the full spectrum of human interaction with machine intelligence, from supporting engineers to understanding everyday experiences with AI.
Our goal is to do fundamental research, invent new technology, and create frameworks for design in order to drive a human-centered approach to artificial intelligence. And we want to be as open as possible: we’re building open source tools that everyone can use, hosting public events, and supporting academics in advancing the state of the art.
Check out past projects here, as well as our People + AI Guidebook.