The AI Ethics Brief

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AI Ethics Brief #147: Pitfalls in RAI programs, responsible internal AI rollouts, ethics of audio models, watermarking in the sand, and…
How can we build long-term accountability in the absence of truly independent observation tools for social media platforms?
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AI Ethics Brief #146: LLMs threatening digital public goods, fair and open-market access, learning to prompt in the classroom, meaningful…
How will the differing regulatory landscape and outlook towards market competitiveness will differentially shape the European vs. the American AI…
AI Ethics Brief #145: Stakeholder selection, QA for AI, matrix to select RAI framework, humans needed for AI, responsible design patterns…
Are there any pitfalls that organizations should be aware of when embarking on these audits by hiring external firms?
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Montreal AI Ethics Institute
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AI Ethics Brief #139: Measuring surprise, definition of GPAIs, getting started with external stakeholder engagement, and more.
 • Montreal AI Ethics Institute
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AI Ethics Brief #140: Limitations of RLHF, data annotation aspirations, better rewards in LLM training, PII leaks in ChatGPT, and more.
 • Montreal AI Ethics Institute
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AI Ethics Brief #146: LLMs threatening digital public goods, fair and open-market access, learning to prompt in the classroom, meaningful…
AI Ethics Brief #138: Brushstrokes and bytes, human intervention's impact on GenAI outputs, AI use in credit reporting, and more.
 • Montreal AI Ethics Institute
AI Ethics Brief #135: Responsible open foundation models, change management for responsible AI, augmented datasheets, and more.
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AI Ethics Brief #116: Instagram Effect in ChatGPT, AI talent gap, many meanings of democratization of AI, and more ...
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AI Ethics Brief #144: Mechanisms of AI policy adoption, scientists' view on GenAI potential, incorporating ethics into GTM strategy, and…
What are some good resources that are keeping track of how the regulatory landscape is evolving?
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Montreal AI Ethics Institute
AI Ethics Brief #143: Managing AI ethics staff, tackling anthropomorphization, tyranny of the majority, plagiarism detection tools, and…
What could X/Twitter have done better from a platform governance perspective to limit the spread of Taylor Swift deepfakes?
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Montreal AI Ethics Institute
AI Ethics Brief #142: OSS AI, fairness uncertainty quantification, impact of ML randomness on group fairness, and more.
What is the most important ethical concern in using AI, differing based on whether you’re primarily in-house or OSS dependent?
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Montreal AI Ethics Institute
AI Ethics Brief #141: Copyrights+IPR in GenAI era, ethical ambiguity in data enrichment, robotics+AI in the Global South, and more.
To what extent will we see Big Tech companies work with news organizations and other stakeholders in the ecosystem to meet the demands being posed on…
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Montreal AI Ethics Institute
AI Ethics Brief #140: Limitations of RLHF, data annotation aspirations, better rewards in LLM training, PII leaks in ChatGPT, and more.
With the advent of ever-more powerful Generative AI systems, how much more difficult have the jobs of HR professionals become and what can they do to…
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Montreal AI Ethics Institute
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AI Ethics Brief #139: Measuring surprise, definition of GPAIs, getting started with external stakeholder engagement, and more.
How can we quantify the return on investment (ROI) or measure the success of integrating external stakeholder feedback into the AI development process?
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Montreal AI Ethics Institute
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AI Ethics Brief #138: Brushstrokes and bytes, human intervention's impact on GenAI outputs, AI use in credit reporting, and more.
Which jurisdictions will be the ones to watch out for who are doing innovative work in the area of developing meaningful regulations?
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Montreal AI Ethics Institute
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