Responsible Human-Centered AI

Tech3Lab de HEC Montréal

From Generative AI to Case Studies of Actual AI Usage in Organizations

HEC Montréal

<h3>Part 1 - A talk by Dr. Ben Shneiderman</h3>Generative AI: With Great Power Comes Great Responsibility<blockquote>Abstract:</blockquote><blockquote>Generative AI Tools, like ChatGPT, Gemini, Firefly, Craiyon, and Midjourney, provide powerful features for users, but also bring substantial dangers. Generating text, answering questions, summarizing documents, and writing code are common text-based applications, complemented by multimedia images, videos, songs, and speech. Generative AI products are often impressive, but sometimes troubling. Potential dangers include errors from “hallucinations”, biased statements, violations of privacy, and copyright infringement. Can these dangers be prevented or mitigated sufficiently to bring commercial success beyond the initial bubble of excitement?</blockquote><blockquote>This talk will address these opportunities and dangers, with applications in education, medicine, and creative industries. We will focus on how HCI researchers and user experience designers can develop control panels that enable users to get what they want more easily and more often. The guiding Human-Centered AI principles stem from human moral and legal responsibility for the uses of technology. For researchers and developers, the message is: You are responsible for what you implement, so learn the helpful strategies. For users, the message is: Generative AI is powerful, so learn to use it; Generative AI is flawed, so be careful.</blockquote>Followed by a 45-minute Fireside chat and Q&amp;A session moderated by Dr. Constantinos K. Coursaris

<h3>Partie 2 - Présentation de cas d'enseignement acceptée dans le prochain numéro de la " Revue internationale de cas en gestion " de HEC Montréal</h3> <blockquote>Pour la deuxième partie de cet événement, nous plongerons dans une série d'études de cas dédiées à l'application de l'intelligence artificielle dans diverses organisations. Des représentants des organisations locales impliquées et les auteurs des études de cas nous les présenterons.</blockquote><blockquote>Toutes les études de cas présentées seront publiées dans une numéro spécial de la Revue internationale de cas en gestion de HEC Montréal portant sur l'intelligence artificielle responsable centrée sur l'humain. Ne manquez pas cette occasion unique d'explorer les impacts réels de l'IA dans les organisations!</blockquote> <h4>Part 2 - Presentation on teaching cases accepted in the forthcoming issue of « Revue internationale de cas en gestion » of HEC Montréal</h4><blockquote>For the second part of this event, we'll be diving into a series of case studies dedicated to the application of artificial intelligence in various organizations. Representatives of the local organizations involved and the authors of the case studies will present them to us.</blockquote><blockquote>All the case studies presented will be published in a special issue of HEC Montréal's International Case Review on Responsible Human-Centered Artificial Intelligence. Don't miss this unique opportunity to explore the real impacts of AI in organizations!</blockquote>

<h3>About Dr. BEN SHNEIDERMAN</h3>(<a href="http://www.cs.umd.edu/~ben" title="http://www.cs.umd.edu/~ben" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">http://www.cs.umd.edu/~ben</a>)Dr. Shneiderman is an Emeritus Distinguished University Professor in the Department of Computer Science and Founding Director (1983-2000) of the Human-Computer Interaction Laboratory (<a href="http://hcil.umd.edu/" title="http://hcil.umd.edu/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">http://hcil.umd.edu</a>) at the University of Maryland. He is a Fellow of the AAAS, ACM, IEEE, NAI, and the Visualization Academy and a Member of the U.S. National Academy of Engineering. He has received six honorary doctorates in recognition of his pioneering contributions to human-computer interaction and information visualization. His widely-used contributions include the clickable highlighted web-links, high-precision touchscreen keyboards for mobile devices, and tagging for photos. Shneiderman’s information visualization innovations include dynamic query sliders for Spotfire, development of treemaps for viewing hierarchical data, novel network visualizations for NodeXL, and event sequence analysis for electronic health records.He is the lead author of Designing the User Interface: Strategies for Effective Human-Computer Interaction (6th ed., 2016). He co-authored Readings in Information Visualization: Using Vision to Think (1999) and Analyzing Social Media Networks with NodeXL (2nd edition, 2019). His book Leonardo’s Laptop (MIT Press) won the IEEE book award for Distinguished Literary Contribution. The New ABCs of Research: Achieving Breakthrough Collaborations (Oxford, 2016) describes how research can produce higher impacts. His book, <a href="https://global.oup.com/academic/product/human-centered-ai-9780192845290" title="https://global.oup.com/academic/product/human-centered-ai-9780192845290" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Human-Centered AI</a>, published by Oxford University Press in 2022, was the winner of the Association of American Publishers award for Computer and Information Systems.

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