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In this workshop we will ask: How might we design information systems for authenticity? We will bring together technologists, journalists, legal experts and archivists, for an interdisciplinary conversation about declining trust in digital content and how we might bolster trust in our information ecosystems.
The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods.
The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods.
This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!
This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!
The internet is at an inflection point. With the growth of mis/disinformation, artificial intelligence and synthetic media, trust in information faces unprecedented threats. At the same time, new technologies – referred to as “Web 3” – present opportunities to protect the integrity of data. Rapid advances in cryptography hold the promise of allowing users to establish the provenance and veracity of information and restore trust in digital content. Can these solutions be applied to investigative journalism, historical archiving, or the admissibility of legal evidence?
In this workshop we will ask: How might we design information systems for authenticity? We will bring together technologists, journalists, legal experts and archivists, for an interdisciplinary conversation about declining trust in digital content and how we might bolster trust in our information ecosystems. What comes next for technologists and practitioners in Journalism, Law and Archiving?
Participants will have an opportunity to not only address discipline-specific issues but also identify cross-over opportunities that address AI’s growing societal impact, technical advancements, public perceptions and geopolitical dynamics. You will come away with a clear understanding of what’s at stake and how each discipline might design for authenticity – separately and/or collaboratively.
This is an invitation-only event with limited seating. If you are a Stanford affiliate and interested in attending, please reach out to stanford-hai@stanford.edu.
View Agenda at starlinglab.org
This event is being co-hosted by the Starling Lab for Data Integrity and the Stanford Institute for Human-Centered AI (HAI).
