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Montreal AI Ethics Institute

Montreal AI Ethics Institute

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Music

Exploring XAI for the Arts: Explaining Latent Space in Generative Music

November 25, 2023

🔬 Research Summary by Nick Bryan-Kinns, Professor of Creative Computing at the Creative Computing Institute, University of the Arts London, where he researches the human-centred approaches to the use of AI in the Arts. … [Read more...] about Exploring XAI for the Arts: Explaining Latent Space in Generative Music

Fair allocation of exposure in recommender systems

August 24, 2023

🔬 Research Summary by Virginie Do and Nicolas Usunier Virginie Do is a former PhD student at Meta AI (Facebook AI Research) and PSL University Nicolas Usunier is a research scientist at Meta AI (Facebook AI … [Read more...] about Fair allocation of exposure in recommender systems

The Ethical Implications of Generative Audio Models: A Systematic Literature Review

August 13, 2023

🔬 Research Summary by Julia Barnett, a PhD student in Technology and Social Behavior, a dual PhD program in computer science and communications at Northwestern University, whose research aims at reducing the … [Read more...] about The Ethical Implications of Generative Audio Models: A Systematic Literature Review

A hunt for the Snark: Annotator Diversity in Data Practices

July 29, 2023

🔬 Research Summary by Ding Wang, a senior researcher from the Responsible AI Group in Google Research, specializing in responsible data practices with a specific focus on accounting for the human experience and … [Read more...] about A hunt for the Snark: Annotator Diversity in Data Practices

An Introduction to Corporate Digital Responsibility

June 20, 2023

✍️ Article by Tess Buckley and Luke Patterson Tess Buckley’s primary research interests include studying the intersection of AI and disability rights (thesis), analyzing AI governance and corporate digital … [Read more...] about An Introduction to Corporate Digital Responsibility

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This image shows a large white, traditional, old building. The top half of the building represents the humanities (which is symbolised by the embedded text from classic literature which is faintly shown ontop the building). The bottom section of the building is embossed with mathematical formulas to represent the sciences. The middle layer of the image is heavily pixelated. On the steps at the front of the building there is a group of scholars, wearing formal suits and tie attire, who are standing around at the enternace talking and some of them are sitting on the steps. There are two stone, statute-like hands that are stretching the building apart from the left side. In the forefront of the image, there are 8 students - which can only be seen from the back. Their graduation gowns have bright blue hoods and they all look as though they are walking towards the old building which is in the background at a distance. There are a mix of students in the foreground.

Tech Futures: Co-opting Research and Education

Agentic AI systems and algorithmic accountability: a new era of e-commerce

ALL IN Conference 2025: Four Key Takeaways from Montreal

Beyond Dependency: The Hidden Risk of Social Comparison in Chatbot Companionship

AI Policy Corner: Restriction vs. Regulation: Comparing State Approaches to AI Mental Health Legislation

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