Launch Event: McGill Collaborative for AI & Society (McCAIS)
The Faculty of Science's听Computational and Data Systems Initiative (CDSI)听is excited to announce the initial launch event for a new听McGill Collaborative for AI & Society (McCAIS).听The event will be facilitated by听, McCAIS Co-director, with introductions by CDSI Director听Eric D. Kolaczyk听and Faculty of Science Dean听Bruce Lennox.听Food & Beverages will be served, with a cocktail hour at the end.
Event Date: Monday, December 4th 2023 from 2 PM to 6听PM. Doors open at 1:30 PM.
Schedule:
1:30 PM to 2:00 PM - Guest Arrival & Registration Confirmation
2:00 PM to 2:30 PM - Event Introductions: Welcome & McCAIS Overview听
2:30 PM to 3:15 PM - Presentation Part 1: Research - Lightning Talks & Discussion听
3:15 PM to 3:30 PM - Break
3:30 PM to 4:30 PM - Presentation Part 2: Education - Lightning Talks & Discussion听
4:30 PM to 5:00 PM听- Event Conclusion: Synthesis &听Next steps听
5:00 PM to 6:00 PM - Cocktail Hour Mixer听
Location:听,听3450 Mc Tavish St, Montreal, Quebec H3A 1X9
Registration: Space is limited for this event. To guarantee your seat, please .
Context:
- Why McCAIS? The interface where rapid AI development meets societal structures, mechanisms and norms is both filled with potential and fraught with concerns. Successfully navigating this interface arguably is one of the greatest challenges we face today. 香蕉视频 has tremendous strengths in many aspects of AI and already is contributing 鈥� and often leading 鈥� in this space in many ways. The McCAIS mission is to facilitate strategic integration of these various distributed strengths around the AI/Society interface at McGill, in both research and education. And, in doing so, serve as a vehicle for increasing both impact and visibility of those strengths.
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- What is McCAIS? The 鈥淐ollaborative鈥� model is an opt-in model aimed at helping the McGill whole be even greater than the sum of the parts at the AI /Society interface 鈥� while at the same time allowing those various parts (whether at individual, departmental/center, or Faculty levels) the necessary flexibility to continue to lead, innovate, and inspire in their respective areas. This model is also intended to help McGill better partner collectively with major local, national, and global groups and organizations of similar interests. McCAIS will be hosted for the university community by the McGill Computational and Data Systems Initiative (CDSI) and, as such, supported by CDSI staff.
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- Where are we at with McCAIS planning and where are we heading? The McCAIS concept grew out of a six month long, deliberate scoping exercise, coordinated by the CDSI, that involved voices from domain area experts, leadership, and advancement, among others. Four pillars were identified for initial McCAIS focus: Thought Leadership, Research to Action, Experiential Learning, and Lifelong Learning. The next step in our planning is to hold the above-mentioned launch event for the McGill community, with the goals of eliciting a sense of common strengths and interests around these pillars and beginning to discuss structures and mechanisms for bringing energy and resources to bear on them.
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