AI Diffusion and Disruption - Prof. Christopher Tucci

Place : Room 3.216-Campus Grand Paris and online 
Time : 12pm-1:30pm
Speaker : Prof. Christopher Tucci - Imperial College
Discussant : Dr Andrea Appella - Associate General Counsel EMEA at OpenAI

Abstract: 
In this talk, we will explore the role of play and exploration in the diffusion of generative AI, thinking about the different ways “play” can be conceptualized.  Play helps users explore and experiment in a ludic manner and builds the installed based of generative AI applications quite quickly, sometimes based on different types of network effects. .  Experimentation and exploration leading to adoption then have the potential to introduce new products, services, processes, and business models, which may have negative consequences for organizations that have not adopted or experimented with the technology.  Additional threats, however, may also appear from overly aggressive automation from AI, and we conclude with a discussion on governance of AI decision making.

Biography of the speaker:
Christopher L. Tucci is Founding Dean of NEOM U’s new College of Business & Innovation.  He is also Professor of Digital Strategy & Innovation at Imperial College Business School, where he is co-Director of I-X, Imperial College’s AI, data, and digital initiative.  Professor Tucci held the Chair in Corporate Strategy and Innovation from 2003-2020 at EPFL and was Dean of the College of Management there from 2013-2018. In 2018, he was Visiting Thought Leader at CEIBS in Shanghai, China.  He received the degrees of Ph.D. in Management from the Sloan School of Management, MIT; SM (Technology & Policy/EECS) from MIT; and BS (Mathematical Sciences), AB (Music), and MS (Computer Science) from Stanford University. He was an industrial computer scientist involved in developing Internet protocols and applying artificial intelligence tools in the 1980s. Professor Tucci teaches courses in Co-creation in AI & Robotics, Deep Tech Acceleration, Design Thinking, Digital Strategy, AI Ventures, and Innovation Management. His primary area of interest is in how firms make transitions to new business models, technologies, and organizational forms. He also studies crowdsourcing, Internetworking, and digital innovations.  He has published articles in, among others, Academy of Management Review (AMR), SMJ, Management Science, Research Policy, Communications of the ACM, SEJ, Academy of Management Annals, and JPIM.  His article with Allan Afuah, “Crowdsourcing as solution to distant search,” won the Best Paper of 2012, Best Practice Implications Award of 2019, and the Decade Award of 2022 for AMR.  He has served in leadership positions in the Academy of Management and the Strategic Management Society and was recently elected to the Leadership Track of the Academy of Management (largest professional society in business academia), culminating in AOM President in 2027.

For further information, please contact Professor Margherita Pagani: margherita.pagani@skema.edu