Montreal AI Ethics Institute

✍️By Yunzhe Liu Yunzhe is a PhD Student in Political Science and a Graduate Affiliate at the Governance and Responsible AI Lab (GRAIL), Purdue University. 📌 Editor’s Note: This article is part of our AI Policy Corner series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Governance and Responsible AI Lab (GRAIL) […] Source
✍️ By Ismael Kherroubi Garcia. Ismael is Founder & Co-lead of the Responsible Artificial Intelligence Network (RAIN), and Founder & CEO of Kairoi. 📌 Editor’s Note: This article is part of our Tech Futures series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Responsible Artificial Intelligence Network (RAIN). The series challenges mainstream […] Source
On what we opt into, the language we use, and the distance between what things are called and what they actually do. Source
✍️By Priyanka Paradkar Priyanka is an Undergraduate Student in Computer Information Technology with a minor in Business Management, and an Undergraduate Affiliate at the Governance and Responsible AI Lab (GRAIL), Purdue University. 📌 Editor’s Note: This article is part of our AI Policy Corner series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and […] Source
✍️ By Ismael Kherroubi Garcia. Ismael is Founder & Co-lead of the Responsible Artificial Intelligence Network (RAIN), and Founder & CEO of Kairoi. 📌 Editor’s Note: This article is part of our Tech Futures series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Responsible Artificial Intelligence Network (RAIN). The series challenges mainstream […] Source
Democratizing AI Ethics Literacy.
✍️By Tejasvi Nallagundla. Tejasvi is an Undergraduate Student in Computer Science, Artificial Intelligence and Global Studies and an Undergraduate Affiliate at the Governance and Responsible AI Lab (GRAIL), Purdue University. 📌 Editor’s Note: This article is part of our AI Policy Corner series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Governance and Responsible AI …
📌 Editor’s Note: This article is part of our Tech Futures series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Responsible Artificial Intelligence Network (RAIN). In this special instalment of Tech Futures by RAIN, we describe two ways in which the Big Tech industry draws on the playbook of the fossil fuels industry. In the previous instalment of Tech Futures, we explo…
The AI Ethics Brief #186: Sovereign by Design. Accountable by Whose Standard? Canada's sovereignty moment, Anthropic's values test, and the accountability frameworks we still need to build. Welcome to The AI Ethics Brief, a bi-weekly publication by the Montreal AI Ethics Institute. We publish every other Tuesday at 10 AM ET. Follow MAIEI on Bluesky and LinkedIn. 📌 Editor’s Note In this Edition (T…
📌 Editor’s Note: This article is part of our Tech Futures series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Responsible Artificial Intelligence Network (RAIN). In this special instalment of Tech Futures by RAIN, we consider two ways in which the Big Tech industry draws on the playbook of the fossil fuels industry. Oil was the driving force of economic growth in the …
✍️By Isadora Argenta. Isadora is an Undergraduate Student in Political Science and minoring in Communication and Portuguese, as well as an Undergraduate Affiliate at the Governance and Responsible AI Lab (GRAIL), Purdue University. 📌 Editor’s Note: This article is part of our AI Policy Corner series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Governance and Responsib…
The AI Ethics Brief #185: When AI Goes to War Verification collapse, procurement politics, and the governance gap widening beneath both. Welcome to The AI Ethics Brief, a bi-weekly publication by the Montreal AI Ethics Institute. We publish every other Tuesday at 10 AM ET. Follow MAIEI on Bluesky and LinkedIn. 📌 Editor’s Note In this Edition (TL;DR) When AI Goes to War: As fabricated conflict foo…
📌 Editor’s Note: This article is part of our Tech Futures series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Responsible Artificial Intelligence Network (RAIN). The series challenges mainstream AI narratives, proposing that rigorous research and science are better sources of information about AI than industry leaders. This third installment of Tech Futures describes …
✍️By Efua Asamani-Baah. Efua is an Undergraduate Student in Data Science and Applied Statistics, minoring in Sociology, as well as an Undergraduate Affiliate at the Governance and Responsible AI Lab (GRAIL), Purdue University. 📌 Editor’s Note: This article is part of our AI Policy Corner series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Governance and Responsible AI…
🔬 By Maya Indira Ganesh. Dr Maya Indira Ganesh is an assistant research professor and associate director at the Leverhulme Centre for the Future of Intelligence (LCFI), University of Cambridge. Her research adopts Science &Technology Studies and Media and Cultural Studies theories and methods to the study of the public, cultural, and social implications of the adoption of AI technologies. From 20…
On critical ignoring, Claude's constitution, and why attention is the scarcest resource in AI. Source
✍️By Alexandria Workman. Alexandria is an Undergraduate Student in Political Science and minoring in Business at Indiana University, as well as an Undergraduate Affiliate at the Governance and Responsible AI Lab (GRAIL), Purdue University. 📌 Editor’s Note: This article is part of our AI Policy Corner series, a collaboration between the Montreal AI Ethics Institute […] Source
✍️ By Ismael Kherroubi Garcia. Ismael is Founder & Co-lead of the Responsible Artificial Intelligence Network (RAIN), and Founder & CEO of Kairoi. 📌 Editor’s Note: This article is part of our Tech Futures series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Responsible Artificial Intelligence Network (RAIN). The series challenges mainstream […] Source
From health data to root permissions, AI is redrawing the boundaries of access. Source
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