ChatLLM23 Large Language Models & Generative AI.

School of History & Philosophy of Science

SOLD OUT for in-person attendance.
For a place on WAITLIST please contact us directly.
WEBINAR registration open watch.ChatLLM23.com

The University of Sydney

ChatLLM23

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

<h2>Large Language Models (LLMs) &amp; Generative AI technologies.</h2><p><em><strong>A multi-disciplinary symposium on the risks, challenges, and opportunities. Ethical &amp; social impacts. Design &amp; development decisions and approaches.</strong></em></p><h2>W﻿ebsite: <a href="https://chatllm23.com/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">ChatLLM23.com</a></h2><h2>R﻿egistration prior to the event is essential to secure a place for in-person attendance.</h2><h2>T﻿his page is for in-person registration only. W﻿ebinar registration <a href="https://www.eventbrite.com.au/e/webinar-link-chatllm23-large-language-models-generative-ai-tickets-615399134377" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">watch.ChatLLM23.com </a><a href="https://easychair.org/cfp/ChatLLM23" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">com</a></h2><p>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.</p><p>The topics covered in the day’s discussion will include:</p><ul><li>C﻿ultural inclusion/exclusion</li><li>F﻿airness</li><li>A﻿ccountability</li><li>E﻿thical considerations</li><li>T﻿ransparency</li><li>A﻿lignment</li><li>S﻿ustainability and environmental impacts</li><li>I﻿mpacts on society</li><li>R﻿LHF (reinforcement learning from human feedback)</li><li>F﻿uture of work</li><li>D﻿ata overfitting</li><li>B﻿ias detection and correction</li><li>R﻿eflections of humanity</li><li>L﻿egal challenges</li><li>E﻿ducational implications</li><li>M﻿easurement validity</li><li>G﻿enerative AI and impacts on gender and sexuality identities.</li></ul><p>ChatLLM23 brings  together academics, doctoral researchers, industry developers, and policy-makers to discuss these and more topics around generative AI t(GAI) technologies.</p><p>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.</p><p>ChatLLM23 specifically addresses the calls in the Australian Government’s <a href="https://wp.oecd.ai/app/uploads/2021/12/Australia_AI_Action_Plan_2021.pdf" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Artificial Intelligence Action Plan</a> as well as <a href="https://www.afr.com/technology/chief-scientist-warns-government-to-get-on-top-of-chatgpt-quickly-20230126-p5cfjl" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">warnings given at Davos by our Chief Scientist Cathy Foley</a>. </p><p><strong>Agenda</strong></p><ul><li>8.30 Registration</li><li>9am AEST (Sydney, Australia Welcome and acknowledgement of Country</li><li>K﻿eynote</li><li>P﻿anel with international experts</li><li>B﻿reak</li><li>S﻿peakers</li><li>L﻿unch</li><li>S﻿peakers </li><li>Workshops</li><li>S﻿peakers</li><li>Networking</li><li>5﻿.30pm Close.</li></ul><h1>This symposium is strictly limited to those who have registered due to catering and room capacity. </h1><p><strong>CFP is handled through EasyChair at </strong><a href="https://easychair.org/cfp/ChatLLM23" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"><strong>papers.ChatLLM23.com</strong></a><strong> All papers must be submitted before the 31st of March at midnight anywhere on earth.</strong></p>

<h3>Speaker sessions</h3><p>20 minute sessions (including 5 minutes of Q&amp;A), panels, and workshops. </p><h3>Workshops</h3><p>We have several workshops running in the afternoon that look at the impacts of GAIs on specific sectors.</p><h3>Networking</h3><p>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.</p><h3>R﻿egistration essential</h3><p>T﻿he event is strictly limited to room and catering capacity. <strong>We expect this to be a highly popular event, therefore pre-registration is mandatory. </strong></p><h3>A﻿ttendance</h3><p>i﻿s is not a hybrid event; however, the event will be live-streamed via zoom.</p><h3>L﻿ocation</h3><p>T﻿he symposium will be held on the main campus of The University of Sydney, Australia. </p>

<h2>C﻿all for Papers</h2><p>T﻿he Call For Papers is through EasyChair and <strong>closes on 31st March at midnight AoE</strong> (Anywhere on Earth). Submissions are &lt;500 word abstracts plus a &lt;300 word bio. </p><p>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. </p><p>C﻿FP: <a href="https://easychair.org/cfp/ChatLLM23" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">papers.ChatLLM23.com </a></p>

ChatLLM23 Large Language Models & Generative AI.

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ChatLLM23 Large Language Models & Generative AI.

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