Last week, the IPTC Spring Meeting 2024 brought media industry experts together for three days in New York City to discuss many topics including AI, archives and authenticity.

Hosted by both The New York Times and Associated Press, over 50 attendees from 14 countries participated in person, with another 30+ delegates attending online.

As usual, the IPTC Working Group leads presented a summary of their most recent work, including a new release of NewsML-G2 (version 2.34, which will be released very soon); forthcoming work on ninjs to support events, planned news coverage and live streamed video; updates to NewsCodes vocabularies; more evangelism of IPTC Sport Schema; and further work on Video Metadata Hub, the IPTC Photo Metadata Standard and our emerging framework for a simple way to express common rights statements using RightsML.

We were very happy to hear many IPTC member organisations presenting at the Spring Meeting. We heard from:

• Anna Dickson of recently-joined member Google talked about their work with IPTC in the past and discussed areas where we could collaborate in the future
• Aimee Rinehart of Associated Press presented AP’s recent report on the use of generative AI in local news
• Scott Yates of JournalList gave an update on the trust.txt protocol
• Andreas Mauczka, Chief Digital Officer at Austria Press Agency APA presented on APA’s framework for use of generative AI in their newsroom
• Drew Wanczowski of  Progress Software gave a demonstration of how IPTC standards can be implemented in Progress’s tools such as Semaphore and MarkLogic
• Vincent Nibart and Geert Meulenbelt of new IPTC Startup Member Kairntech presented on their recent work with AFP on news categorisation using IPTC Media Topics and other vocabularies
• Mathieu Desoubeaux of IPTC Startup Member IMATAG presented their work, also with AFP, on watermarking images for tracking and metadata retrieval purposes

In addition we heard from guest speakers:

• Jim Duran of the Vanderbilt TV News Archive spoke about how they are using AI to catalog and tag their extensive archive of decades of broadcast news content
• John Levitt of Elvex spoke about their system which allows media organisations to present a common interface (web interface and developer API) to multiple generative AI models, including tracking, logging, cost monitoring, permissions and other governance features which are important to large organisations using AI models.
• Toshit Panigrahi, co-founder of TollBit spoke about their platform for “AI content licensing at scale”, allowing content owners to establish rules and monitoring around how their content should be licensed for both the training of AI models and for retrieval-augmented generation (RAG)-style on-demand content access by AI agents.
• We also heard an update about the TEMS – Trusted European Media Data Space project. 

We were also lucky enough to take tours of the Associated Press Corporate Archive on Tuesday and the New York Times archive on Wednesday. Valierie Komor of AP Corporate Archives and Jeff Roth of The New York Times Archival Library (known to staffers as “the morgue”) both gave fascinating insights and stories about how both archives preserve the legacy of these historically important news organisations.

Brendan Quinn, speaking for Judy Parnall of the BBC, also presented an update of the recent work of C2PA and Project Origin and introduced the new IPTC Media Provenance Committee, dedicated to bringing C2PA technology to the news and media industry.

On behalf all attendees, we would like to thank The New York Times and Associated Press for hosting us, and especially to thank Jennifer Parrucci of The New York Times and Heather Edwards of The Associated Press for their hard work in coordinating use of their venues for our meeting.

The next IPTC Member Meeting will be the 2024 Autumn Meeting, which will be held online from Monday September 30th to Wednesday October 2nd, and will include the 2024 IPTC Annual General Meeting. The Spring Meeting 2025 will be held in Western Europe at a location still to be determined.