When I feel intimidated learning new things, especially systems, I often think about “Fog of War” mapping in RTS games. A FoW map is obscured in darkness, only to be revealed as you explore, tile by tile, until the entire domain is visible.

RT @ryan_t_lowe: Introducing: Full-Stack Alignment 🥞. A research program dedicated to co-aligning AI systems *and* institutions with what p….

This starts in an hour.

@instdin @petrknoth Today, June 23rd, at 12:45pm ET. RSVP here:

This Monday, @instdin will host @petrknoth to share his experience leading CORE ("The world’s largest collection of open access research papers") as the rise of AI brings new meaning, and challenges, to stewarding knowledge repositories. Join us virtually via the link below.

Register here:.

Tomorrow, it's our pleasure to host @ayahbdeir to talk about the power of data in building an AI ecosystem that's open, transparent, and fair. 11am ET on June 17th. Register at the link below to attend virtually. Cohosted by the @instdin and @BKCHarvard.

Our release of public domain books is now live.

RT @PhilologistGRC: The Harvard Data Science Review just published our paper on Data Reuse: The basic argument i….

RT @S_Stantcheva: One challenge for trade policy, is that the benefits to consumers (like lower prices) feel vague & abstract—it's hard to….

RT @felchang: I've loved writing words, while loops and wandering wectors, so I'm thrilled to join the @instdin team at Harvard as the dire….

If you want the hibachi show, you have to be willing to eat some eggshell.

Adding "fine" to "art" was some marketing genius.

The indomitable @pbkauf is giving a talk at @BKCHarvard on his new book. The Moving Image: A User's Manual explores the power of the medium to communicate, persuade, and distort. March 27th. Don't sleep on this one.

The Institutional Data Initiative at Harvard (@instdin) works with knowledge institutions to increase the availability, diversity, and responsible use of training data for AI. Reach out and join us.

Our goal is to develop methods and tools that can support expert staff at libraries everywhere, increasing the breadth of materials that can be digitized and the speed at which they’re made accessible to the public. Learn more here:.

Together, we’ll research opportunities to generate machine-readable representations of items, add searchable metadata, and begin the structuring of entire collections—all at the moment each item leaves the imaging station.

IDI and BPL are working to change this by collaborating at the outset of a large digitization project, exploring how AI might complement human expertise and strengthen the process in its earliest stages.

BPL is embarking on a new initiative to digitize 100's of thousands of historic items. Conventional approaches lead to an impossible choice: sacrifice depth for breadth or drastically limit what gets digitized. AI tools can help, but they’re relegated to the end of the process.

As the Institutional Data Initiative (@instdin) expands its mission, we’re announcing a collaboration with the Boston Public Library (@BPLBoston) to develop AI-driven tools capable of accelerating new digitization at libraries across the world, starting at BPL. 🧵.

Read more in our announcement here: