26-27 July 2021

Venue: Centre for Advanced Studies, LMU Munich

Team AI4Dignity is organizing a two-day collaborative coding event with fact checkers, AI developers and academic researchers to improve machine learning models to flag and label online extreme speech

Also featuring

Public plenary and panels

• How can AI assisted systems contribute to online extreme speech moderation? 
• How do we envision collaborative AI endeavors to address the vast cultural variation and dynamic nature of hateful expressions online?
• How can communities, AI developers and ethnographers team up?

Speakers 

Factcheckers:

Gilberto Scofield Jr. (Brazil); Julia Ley, Anna-Sophie Barbutev, Eva Casper, Marita Wehlus, Aylin Dogan (Germany); Govindraj Ethiraj, Mayur Deokar (India), Geofrey Omondi, Erick Kashara (Kenya) 

with 

Hossein Deerakshan (LSE), Joan Donovan (Harvard), Bharat Ganesh (Groningen), Kiran Garimella (MIT), Duncan Omanga (SSRC), Jonathan Corpus Ong (UMass), Pablo Ortellado (Uni of São Paolo), Cristina Tardeguilla (Agência Lupa)

For more information, contact ai4dignity@ethnologie.lmu.de

For more on the AI4Dignity project, see here.

Call for papers

We are inviting abstract submissions in these thematic areas:

• Policy frameworks for AI and online content moderation in the EU/North America/the ‘global Souths’
• Critical studies of the promise and limits of AI systems for online extreme speech moderation
• Ethnographic approaches to AI assisted efforts against hate and disinformation

Please send your abstracts (300 words) to ai4dignity@ethnologie.lmu.de before 20 May 2021. Selected participants will be notified by 25 May 2021. Abstracts should contain a clear outline of the argument, theoretical framework, methodology, and a brief note on how your research links to the overall theme of the workshop. Please also include 3-5 keywords that describe your work, and a short bio (max 100 words, stating affiliation).

The workshop is planned as a hybrid event but will go fully online based on the pandemic situation. Travel and accommodation costs will be covered for the physical event.

Selected presentations will be invited to contribute to an edited collection.

For more information, contact ai4dignity@ethnologie.lmu.de