Large Language Models (LLMs) & Generative AI technologies.

A multi-disciplinary symposium on the risks, challenges, and opportunities. Ethical & social impacts. Design & development decisions and approaches.

This page is for registration for the event. CFP and abstract submissions are through papers.ChatLLM23.com

Large Language Models (i.e. ChatGPT, and LaMDA) and other Generative AI technologies (i.e. Stable Diffusion and Dall-E) are rapidly unfolding technologies that are likely to have major disruptive impacts on many facets of society as well as implications for environmental sustainability. Conversations about how we should manage these technologies on individual, organisational, industry sector, and societal levels, must be cross-disciplinary. ChatLLM23 brings together diverse voices to speak on the many aspects of how these technologies may unfold in the immediate, short-term, and medium-term future.

The topics covered in the day’s discussion will include:

• Cultural inclusion/exclusion
• Fairness
• Accountability
• Ethical considerations
• Transparency
• Alignment
• Sustainability and environmental impacts
• Impacts on society
• RLHF (reinforcement learning from human feedback)
• Future of work
• Data overfitting
• Bias detection and correction
• Reflections of humanity
• Legal challenges
• Educational implications
• Measurement validity
• Generative AI and impacts on gender and sexuality identities.

ChatLLM23 brings together academics, doctoral researchers, industry developers, and policy-makers to discuss these and more topics around generative AI t(GAI) technologies.

Often, the conversation around the issues of LLMs and generative AI technologies is disjointed as research from disparate fields is presented at different conferences and through different academic outlets. There are still gaps between academia, government, and industry, and whilst much effort is being made to address these gaps, in the case of GAI we need to work faster and smarter to bridge these conversations. The media can be misinformed and AI hype-creep can derail the focus of areas that need critical attention. Sometimes, the conversation can be dominated by a small handful of voices which puts us at risk of losing valuable information from diverse corners. In order for the public to stay informed and for policymakers to best handle the deployment and regulation of these consequential technologies we must platform more cross-disciplinary conversations. ChatLLM23 is actively seeking to address these issues by providing a day for diverse, multi-disciplinary, and wide-ranging voices to be heard together and to listen to each other.

ChatLLM23 specifically addresses the calls in the Australian Government’s Artificial Intelligence Action Plan as well as warnings given at Davos by our Chief Scientist Cathy Foley.

Agenda

• 8.15 Registration
• 8.30 Welcome and acknowledgement of Country
• Keynote
• Panel with international experts
• Break
• Speakers
• Lunch
• Speakers
• Workshops
• Speakers
• Networking
• 5.30pm Close.

CFP is handled through EasyChair at All papers must be submitted before the 31st of March at midnight anywhere on earth.

20 minute sessions (including 5 minutes of Q&A), panels, and workshops.

We have several workshops running in the afternoon that look at the impacts of GAIs on specific sectors.

Several break sessions with refreshments will enable participants to continue discussions more informally and grow their networks with others working on the topic of LLMs.

The event is strictly limited to room and catering capacity. We expect this to be a highly popular event, therefore pre-registration is mandatory.

is is not a hybrid event; however, the event will be live-streamed via zoom.

The symposium will be held on the main campus of The University of Sydney, Australia.

The Call For Papers is through EasyChair and closes on 31st March at midnight AoE (Anywhere on Earth). Submissions are <500 word abstracts plus a <300 word bio.

Full papers may be submitted after the event by 24th May for inclusion in the published proceedings. Full submissions will also be considered (at the author's request) for inclusion in a special edition of a recognised AI Ethics journal.

CFP: papers.ChatLLM23.com

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Host or Publisher School of History & Philosophy of Science