A clean, professional platform for Cambridge and Greater Boston researchers to share insights on the ethics, safety, and societal implications of machine learning systems
This website serves as the primary peer review and feedback collection point for the MIT hosted Special Issue on Machine Learning Ethics. We are specifically inviting researchers, postdocs, postgraduates, nnd faculty from the Cambridge, Boston, and greater Boston area to share narrowed and constructive commentary on submitted papers.
Commentary should focus on ethical implications, baseline assumptions, bias, fairness, accountability, and societal impact of ML systems.
Environ 2-3 paragraphs. Cite specific sections of the paper. Provide constructive, evidence-based feedback. Keep length under 600 words.
Submissions are confidential to the special issue editorial team. Anonymous submissions are supported if you prefer.
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