Large language models and vast datasets offer transformational potential for economies and societies, but their application for social good raises important privacy and security implications. In particular, allocators, implementers, and governments need more evidence and tools to navigate the tension between impact, privacy, and transparency. This concern isn’t merely theoretical; it has tremendous implications for lives, livelihoods, and bottom lines. In this interactive workshop, you will engage with real-world case studies that illustrate differing approaches to managing this risk. We’ll explore how organizations can better safeguard business and competitive concerns, align with legal requirements, and invest for maximum impact when using AI and data science tools. Participants will come away with strategies for how to future-proof their social impact initiatives.
Future-Proofing Social Impact for Privacy
Track
AI = Accelerating Impact
Format
Workshop (Up to 3 Facilitators/Instructors)
Speakers
- NameMegan Price
- TitleExecutive Director
- OrganizationHuman Rights Data Analysis Group
- NameValentina Rozo Ángel
- Title(Former) Data Analytics Lead
- OrganizationColombian Truth Commission
- NameNitin Kohli
- TitleStaff Scientist: Applied Mathematician, Data Privacy
- OrganizationCenter for Effective Global Action (CEGA), University of California, Berkeley
Description
Large language models and vast datasets offer transformational potential for economies and societies, but their application for social good raises important privacy and security implications. In particular, allocators, implementers, and governments need more evidence and tools to navigate the tension between impact, privacy, and transparency. This concern isn’t merely theoretical; it has tremendous implications for lives, livelihoods, and bottom lines. In this interactive workshop, you will engage with real-world case studies that illustrate differing approaches to managing this risk. We’ll explore how organizations can better safeguard business and competitive concerns, align with legal requirements, and invest for maximum impact when using AI and data science tools. Participants will come away with strategies for how to future-proof their social impact initiatives.
