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Dear MAIEI Community,
The past few months have been a journey of loss and resilience. On Sep 30, we lost our founder, @atg_abhishek
His vision built the foundation of the @mtlaiethics (MAIEI) and inspired a global movement in #AIethics
More here: brief.montrealethics.ai/p/th…
🧵👇
➡️ 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.
Read the full letter: Open Letter: Moving Forward Together – MAIEI’s Next Chapter
brief.montrealethics.ai/p/th…
/End
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
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He touched countless lives by making #AIethics accessible, inclusive, and impactful. His contributions will continue to inspire us and the broader community.
Please read more about his incredible journey and lasting legacy here: montrealethics.ai/in-memoria…
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Please share stories, personal anecdotes, and photos of Abhishek on this digital memorial page here: forevermissed.com/abhishekgu… — your contributions will be greatly appreciated by his family and loved ones.
Details of a memorial service will be announced in the coming weeks.
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Montreal AI Ethics Institute retweeted
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-s…
(Thanks @atg_abhishek!)
Montreal AI Ethics Institute retweeted
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/10.1145/36176…
@nando_dgb @mmadaio @fabulousQian
"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
Montreal AI Ethics Institute retweeted
Thanks to @mtlaiethics Montreal AI Ethics Institute for sharing the summary of our recent ICSA’24 paper on A Reference Architecture for Designing Foundation Model based Agents
montrealethics.ai/responsibl…
Paper preprint on arxiv: arxiv.org/abs/2311.13148
@atg_abhishek
Montreal AI Ethics Institute retweeted
Thanks to @atg_abhishek from @mtlaiethics for featuring my research work about Generative AI in Writing Research Papers in Montreal AI Ethics Institute's research summaries institute.
Check it out here: montrealethics.ai/generative…
Montreal AI Ethics Institute retweeted
LLMs like GPT-4 are shaping our world. Can we agree on the principles that guide their reasoning?
We assembled a list of 37 such principles, based on ideas spanning from AI to philosophy.
Summary @mtlaiethics
montrealethics.ai/a-collecti…
Paper @solarneurips
arxiv.org/abs/2312.10059
Montreal AI Ethics Institute retweeted
@BrownCSDept research that recently won a SoLaR Best Paper Award (go.brown.edu/SoLaRBestPaper) has been making waves this week. Check out what they're saying at @mtlaiethics (montrealethics.ai/low-resour…) and @TheRegister (theregister.com/2024/01/31/g…).
Montreal AI Ethics Institute retweeted
Managing #AI #risks after model implementation ...
Some answers from @_IAPS_ @mtlaiethics @AINewsletter
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…
Montreal AI Ethics Institute retweeted
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…
Montreal AI Ethics Institute retweeted
We need to rethink the belief that all privacy-preserving models are inherently more discriminatory.
I give a high-level overview of why - in this @mtlaiethics blog post based on my summer internship work at @GoogleDeepMind montrealethics.ai/unlocking-… 1/5
Montreal AI Ethics Institute retweeted
My research summary on defense against authorship identification attacks is now available on @mtlaiethics🤗 Useful tips are included for whistleblowers💪🏻
montrealethics.ai/defending-…

















