Large Language Models for media and democracy: wrecking or saving society?

With this workshop we intend to map the salient technical and societal issues that emerged around foundational models and to discuss recent developments to address them.

When
23 Apr 2024 from 9 a.m. to 24 Apr 2024 6 p.m. CEST (GMT+0200)
Where
CWI, Turing room, Science Park 125
Add

Over the past years, foundational models, including large-language models (LLMs) and multi-modal systems, have significantly advanced the possibilities for understanding, analyzing, and generating human language [1]. These models, based on artificial neural network computations trained on a large scale of documents, open the possibility of performing advanced tasks related to language, audio, video, and image processing.

However, these models are relatively novel and several crucial open issues need to be addressed. These issues are related both to the development and the impact of these models on society, especially on media and democracy.

See here for more information about reliability and transparency, use and misuse and disinformation.

Programme 23 April - Media and Democracy

timetable for 23 April
Time Subject and chair/speaker

8:30-9:00

Walk in

9:00-9:10

Welcome - Speaker: Davide Ceolin (CWI)

Timetable for technical session on 23 April
Technical session: Technological issues of LLMs and solutions to these issues. Chair: Davide Ceolin (CWI)

9:10-9:40

Building our own LLMs – insights and progress GPT-NL and TrustLLM

Speaker: Saskia Lensink (TNO)

9:40-10:10

Informational influence and (bi-)polarization dynamics

Speakers: Carlo Proietti and Davide Chiarella (National Research Council of Italy)

10:10-10:40

AI, and post-reality politics: why flooding the political zone with shit matters

Speaker: Adam Henschke (Twente University)

10:40-11:00

Break

11:00-11:30

On the Value Alignment of LLMs

Speaker: Pradeep Murukannaiah (TUDelft)

11:30-12:00

Change of minds, the essence of democracy?

Speaker: Maurik Dippel (CircleLytics)

12:00-13:00

Lunch + Poster session

Timetable for societal session on 23 April
Societal session: Users of AI in media and democracy: election tools, cyber crime, startup companies Chair: Pradeep Murukannaiah (TUDelft)

13:00-13:30

LLM in Financial Economic Crime: Cozy campfire or wildfire in the making?

Speakers: Tertia Wiedenhof and Tim Schwarz (Rabobank)

13:30-14:00

Postbus42.nl & Vragen.ai: Building trustworthy and transparent AI solutions using Retrieval Augmented Generation (RAG)

Speaker: Matthias Snoei (Swis)

14:00-14:30

A car cannot drive without a road or fuel - Responsible AI also means a responsible digital infrastructure and a responsible use of data

Speaker: Roland van der Heijden (Gemeente Rotterdam)

14:30-15:00

Break

15:00-15:30

Using LLMs in the journalistic environment at NRC

Speaker: Tessel Bogaard (NRC)

15:30-16:00

LLM’s and the media: opportunities and risks for news media and society

Speaker: Philippe Remarque (DPG Media)

16:00-16.30

Conversational ANP

Speaker: Willem Jan Faber (KB)

16:30-17:00

Artisanal journalists with modern equipment

Speaker: Jeroen Wiegertjes (NEMO Kennislink)

17:00-17:30

Panel discussion: Trustworthy and Transparent AI in Media and Democracy

Panelists: to be announced

Moderator: Pradeep Murukannaiah

17:30-

Networking drinks

Programme 24 April - Societal challenges and Governance

Timetable for 24 April
Time Subject and chair/speaker

8:30-9:00

Walk in

9:00-9:10

Welcome

Speaker: Ilia Markov (VU Amsterdam)

time table for technical session on 24 April
Technical session: Societal issues of LLMs, risks of using AI solutions in media and democracy, and solutions to risks Chair: Ilia Markov

9:10-9:40

Digital Literacy & Other Blindspots AI Experts Cannot Solve

Speaker: Antske Fokkens (VU Amsterdam)

9:40-10:10

Using AI to enhance creative deliberation

Speaker: Jos van Leeuwen (HHS)

10:10-10:40

Algorithmic Problems in Large-Scale Deliberative Democracy

Speaker: Davide Grossi (RU Groningen)

10:40-11:00

Break

11:00-11:30

Accelerated Enshittification: LLM’s and the pollution of our knowledge sphere

Speakers: Joris Veerbeek and Mirko Schäfer (Utrecht Data School)

11:30-12:00

AI in learning: can machine learning help human learning?

Speaker: Felienne Hermans (VU Amsterdam)

12:00-13:00

Lunch + Poster session

Time table of societal session on 24 April
Societal session: Governance: EU, The Hague (house of parliament), Education (High schools, Universities), Legal Chair: to be announced

13:00-13:30

Competitive dynamics behind foundation models

Speaker: Thibault Schrepel (VU Amsterdam)

13:30-14:00

Exploring the Potential of Generative AI for the Dutch Parliament

Speaker: Gert-Jan Lodder (Chief Data Officer in the Dutch Parliament)

14:00-14:30

Tech tools transforming competition enforcement: opportunities and challenges

Speaker: Valentina Porcu (EU commission, data scientist chief technology office DG COMP)

14:30-15:00

Break

15:00-15:30

Interactive session: Generative AI Disclosures

Moderator: Karthikeya Puttur Venkatraj (CWI), Abdallah El Ali (CWI)

15:30-16:00

Panel Discussion: Governance

Panelists: To be announced

Moderator: Piek Vossen

16:00-17:00

KEYNOTE:

The AI Act & ChatGPT: A new Hope or Empire Strikes Back?

Speaker: Natali Helberger (AI, media and democracy lab, UvA)

17:00 -

Networking drinks

Co-organizers

This workshop is organized with the Hybrid Intelligence Center (VU Amsterdam and TU Delft) and Hands4Grants.


Sponsors

Want to learn more about AI?

This workshop is part of CWI's semester programme on 'AI's impact on society, media & democracy'. Click here for more information.