Montreal AI Ethics Institute

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Montreal AI Ethics Institute

Montreal AI Ethics Institute

@mtlaiethics

International non-profit org democratizing AI ethics literacy. ✉️ Get the AI Ethics Brief bi-weekly: https://t.co/TmitX4ks9N

Montréal, Québec Katılım Mayıs 2018
212 Takip Edilen7.5K Takipçiler
Montreal AI Ethics Institute
Montreal AI Ethics Institute@mtlaiethics·
➡️ Growing The AI Ethics Brief subscriber base from 15K to 100K ➡️ Reconnecting w/ contributors, partners, and collaborators ➡️ Establishing a memorial scholarship or seminar series at @mcgillu ➡️ Building a sustainable future through direct donations, sponsorships, and grants.
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Montreal AI Ethics Institute
Montreal AI Ethics Institute@mtlaiethics·
Please share stories, personal anecdotes, and photos of Abhishek on this digital memorial page here: forevermissed.com/abhishekgupta — your contributions will be greatly appreciated by his family and loved ones. Details of a memorial service will be announced in the coming weeks. [4/4]
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Montreal AI Ethics Institute
Montreal AI Ethics Institute@mtlaiethics·
In accordance with his family's wishes, it is with profound sadness that we announce the passing of @atg_abhishek, Founder and Principal Researcher of @mtlaiethics, and Director for Responsible AI at @BCG and a pioneering voice in the field of #AIethics [1/4] 🧵👇
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Luke Thorburn
Luke Thorburn@LukeThorburn_·
The Montreal AI Ethics Institute @mtlaiethics has published a concise summary of our paper on *bridging systems* — algorithmic systems (incl. recommenders) that help build mutual understanding and trust across divides. montrealethics.ai/bridging-syste… (Thanks @atg_abhishek!)
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Stephen Yang
Stephen Yang@stepeche_mode·
Montreal AI Ethics Institute @mtlaiethics just published a research summary of our #EAAMO23 paper on what participation means in the context of AI design and development! Blog Post: twtr.to/4nO2E Full Paper: dl.acm.org/doi/10.1145/36… @nando_dgb @mmadaio @fabulousQian
Stephen Yang tweet media
Stephen Yang@stepeche_mode

"Participatory AI" is a heterogeneous field that lacks a shared set of principles. The stakes are high when large-scale AI like LLMs operates with an ever-growing set of stakeholders. Our #EAAMO23 paper provides an analytical and empirical foundation: arxiv.org/abs/2310.00907

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Michael Heinz
Michael Heinz@Michael4811·
Managing #AI #risks after model implementation ... Some answers from @_IAPS_ @mtlaiethics @AINewsletter
Institute for AI Policy and Strategy (IAPS)@iapsAI

Missed @_IAPS_ report on Deployment Corrections? This 2-page summary written by Joe O’Brien and published by @mtlaiethics explores how AI developers can prepare to decisively manage risks discovered after model deployment. montrealethics.ai/deployment-cor…

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