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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.
The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
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).
