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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.
Strategic stability exists when neither side thinks it can improve its strategic outcome by striking first.
Strategic stability exists when neither side thinks it can improve its strategic outcome by striking first.
How do AI agents influence knowledge work? This paper finds that agents shift worker effort from implementation to supervision, which especially benefits verifiable work and expert workers. I use data from the coding platform Cursor to study agents in software production.
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How do AI agents influence knowledge work? This paper finds that agents shift worker effort from implementation to supervision, which especially benefits verifiable work and expert workers. I use data from the coding platform Cursor to study agents in software production.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
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).
