# HAIO Symposium 2024 > Human & Artificial Intelligence in Organization: Interdisciplinary Impact. An archive of the symposium held at Imperial College London on 9 September 2024. This event has already taken place. Roles and affiliations are those recorded for the 2024 event, not claims about current employment. All event times are London time (BST, UTC+01:00). The programme descriptions are event summaries, not substitutes for the linked research papers. Search indexing, AI retrieval/input, and AI training are welcome for material within the site owner's rights. Third-party portraits, institutional marks, artwork, fonts and linked papers retain their respective rights; this policy does not relicense them. Please cite the archive and the relevant authors when using their work. Source: https://haiosymposium.com/ ## Event - Date: 9 September 2024 - Time: 13:00–17:30, Europe/London (BST, UTC+01:00 on the event date) - Venue: I-X Hub, 6th floor, Translation & Innovation Hub (I-Hub), 84 Wood Lane, London W12 0BZ ## Speakers and respondents ### Kevin R. McKee Staff Research Scientist · Google DeepMind Profile: https://www.empiricallykev.com/ ### Winnie Street Senior Researcher · Google Research Profile: https://uk.linkedin.com/in/winniestreet ### Martin Anthony Professor of Mathematics · LSE Profile: https://personal.lse.ac.uk/anthony/ ### Jennifer Ding TPS Senior Researcher · The Alan Turing Institute Profile: https://jending.com/ ### Lujain Ibrahim PhD Candidate, Social Data Science · Oxford Profile: https://lujainibrahim.com/ ### Aidan Peppin Policy & Responsible AI Lead · Cohere for AI Profile: https://www.linkedin.com/in/aidan-peppin/?originalSubdomain=uk ## Organizing committee ### Xule Lin PhD Candidate · Imperial College Business School Profile: https://linxule.com/ ### Kevin Corley Professor, Head of Department · Imperial College Business School Profile: https://profiles.imperial.ac.uk/k.corley ### Chris Tucci Professor of Digital Strategy & Innovation, Co-Director of I-X · Imperial College London Profile: https://profiles.imperial.ac.uk/c.tucci ### Susan Scott Professor of Management and Artificial Intelligence · Imperial College London Profile: https://www.linkedin.com/in/susan-scott-210ab64/?originalSubdomain=uk ### David Shrier Professor of Practice, AI & Innovation · Trusted AI Alliance Profile: https://profiles.imperial.ac.uk/david.shrier ### Mark Kennedy Professor, Director of DSI · Imperial College London Profile: https://profiles.imperial.ac.uk/mark.kennedy ## Schedule - 13:00–13:15: Opening remarks. Kevin Corley (Imperial) - 13:15–14:15: Session 1 · Unraveling the Synergies and Differences Between Human and Artificial Intelligence. Presenters: Kevin R. McKee (Google DeepMind), Winnie Street (Google Research). Respondent: Martin Anthony (LSE). - 14:15–14:45: Coffee break - 14:45–15:45: Session 2 · Building Trustworthy AI: Balancing Openness, Ethics, Reliability, and Transparency. Presenters: Jennifer Ding (The Alan Turing Institute), Lujain Ibrahim (Oxford). Respondent: Aidan Peppin (Cohere for AI). - 15:45–16:15: Panel discussion. Moderator: Susan Scott (Imperial) - 16:15–16:30: Closing remarks. David Shrier (Trusted AI Alliance) - 16:30–17:30: Post-event reception ## Session 1: Unraveling the Synergies and Differences Between Human and Artificial Intelligence ### 13:15–13:30: Warmth and Competence in Human-Agent Cooperation Paper presentation. Kevin R. McKee (Google DeepMind) Explore how social perception influences human-AI cooperation. This study reveals that warmth and competence assessments of AI agents better predict human preferences than task performance, emphasizing the importance of social factors in human-AI interactions. Paper: https://link.springer.com/article/10.1007/s10458-024-09649-6 ### 13:30–13:45: Assessing LLM performance on higher-order theory of mind tasks Paper presentation. Winnie Street (Google Research) Discover how the performance of large language models (LLMs) compares to that of humans on theory of mind (ToM) tasks which involve reasoning about the multiple interrelated mental states of characters in short stories. This study shows that larger, fine-tuned LLMs come close to—and sometimes exceed—human performance on these tasks, and explores the implications for user-facing LLM applications and human-AI interactions. Paper: https://arxiv.org/abs/2405.18870 ### 13:45–14:15: Synergies and Differences Between Human and Artificial Intelligence Respondent-led discussion. Respondent: Martin Anthony (LSE) Explore the unique strengths and complementary roles of human and artificial intelligence. This panel examines recent findings on AI's theory of mind capabilities and discusses how AI can augment human cognition across various domains. ## Session 2: Building Trustworthy AI: Balancing Openness, Ethics, Reliability, and Transparency ### 14:45–15:00: Expanding Participatory AI Collaboration & Governance Paper presentation. Jennifer Ding (The Alan Turing Institute) Uncover collaboration patterns in the open AI ecosystem through a quantitative analysis of the Hugging Face Hub. Learn how licenses impact development activity and the role of key actors in shaping the future of AI. Paper: https://arxiv.org/abs/2405.13058 ### 15:00–15:15: Beyond static AI evaluations: advancing human interaction evaluations for LLM harms and risks Paper presentation. Lujain Ibrahim (Oxford) Explore the need for human interaction evaluations in assessing AI safety. Learn about a new framework for evaluating human-model interactions, crucial for understanding and mitigating potential harms in real-world AI applications. Paper: https://arxiv.org/abs/2405.10632 ### 15:15–15:45: Fostering Openness, Transparency, and Ethical Standards in AI Development Respondent-led discussion. Respondent: Aidan Peppin (Cohere for AI) What are strategies for fostering openness, transparency, and ethical standards in AI development? This panel explores collaborative practices in the open AI ecosystem and discusses the importance of multi-stakeholder collaboration in shaping future AI policies. ## Venue and travel White City · London Getting there I-X Hub 6th floor, Translation & Innovation Hub (I-Hub) 84 Wood Lane, London W12 0BZ View on Google Maps (https://maps.app.goo.gl/5X5XshaWvxLg34VK6) Upon arrival, check in at the reception desk. The staff will provide you with a visitor pass and direct you to the correct floor for the symposium. By car Just off the A40 (Westway). Taxis and Ubers can drop you off directly at the entrance of the I-Hub. By bus White City Bus Station: roughly a 12-minute walk. Cavell House Bus Stop (Stop P): about a 5-minute walk. By Tube White City Station (Central Line): about a 5-minute walk. Wood Lane Station (Hammersmith & City and Circle Lines): roughly a 10-minute walk. ## Archival event listing https://www.eventbrite.co.uk/e/human-artificial-intelligence-in-organizations-haio-symposium-tickets-996279578037 Registration is closed. The original Google signup form is not part of this archive.