AI is in use in assessing and delivering social services. For many, this means getting advice and getting connected to services that may otherwise be impossible when relying on the speed and efficiency of determined, dedicated, but resource-limited individuals. How have AI for social services been established? What are their gaps? And how can they be constantly tested and improved to ensure no one is left behind? We will share case studies on covid information, air pollution testing, election monitoring, and host a discussion on practical next steps for the public and the laws and regulations that need strengthening.
We have a monthly webinar series we encourage any to join and participate and welcome others with shared interests and topics to join and potential present and be profiled.
How will you deal with varying numbers of participants in your session?:We seek to have as interactive a session as possible- and have been able to have engaging moderated discussions with 300 participants or 3. The session will be a multi-person presentation, listening from practitioners directly- and we always like to ask each other questions too!
What is the goal and/or outcome of your session?:Share practical examples including but not limited to:
BDT's algorithm for modeling the need for federal support
Community Solution's predictive model for homelessness
Solar Sister's model for supporting likely entrepreneurs with solar energy
Share and provoke: How have AI for social services been established? What are their gaps? And how can they be constantly tested and improved to ensure no one is left behind? And potentially seek to inspire others to pursue their own path- or identify gaps and holes in ongoing work.
Listening and learning to work more equitable, transparent, and participatory data infused governance for all.
Deputy Mayor for Budget and Innovation at City of Los Angeles
Founder, Institute of Digital Geopolitics
Founder, Afya Rekod
Chief of Strategy and Partnerships, African Institute for Mathematical Sciences