Your Paper Review must cover include all of the following aspects: Non-technical background (3 x 1 = 3 pts) Who Who are the authors? Which institutions are they from? Who are

the Pl and who are the students? Are there any interns? Where Where and when was this paper published? Note: it's possible that a paper is first published in a conference and later expanded to a journal paper, so check if this is the case. Did this paper receive any recognition such as an award or nomination? Does this paper have impact (number of citations)? Is the impact increasing or decreasing (trend in the number of citations)? Are there media reports about this paper Reproducibility Did the authors create and release any dataset? If not, what datasets did they use, and are they freely available online? Is there a clear train/dev/test split? Did the authors release their code? Are these datasets and code influential? Is there a demo? Can you find slides or talk videos about this paper? Overall, how reproducible is this paper? Core (the famous what-why-how-wow template for writing abstract/intro) (4 x 2 = 8 pts) What: What problem are the authors trying to solve? Is this a new problem? If not, what are the notable previous approaches, and what are their limitations? Why: Why did they choose this problem? Is it hard? Is it important? How: What's the authors' approach to tackle this problem? Wow: Did this approach result in great results? Further (3 x 1 = 3 pts) But: What flaws or limitations did you see in the authors' approach or results? More: If you were to follow up on this line of work, what topics/methods will you work on? All: What's your overall feeling of this paper? What's the single take-home message you learned from it? Relevance (1 pt) Did materials covered in this course help you understand this paper? How relevant is this paper to this course? What extra materials did you study in order to understand this paper? Hint: Google Scholar is your friend. Use it to find freely-available PDFs for journal papers, citation counts and trends, bibtex files, etc. The OSU Library 1Search has an internal citation search to find sources cited in an article, or sources that cite that article. Screen capture showing the 1search entry for an article with a blue oval and orange arrow indicating where on the record the find sources icons are located. List of Candidate Papers (you must choose a paper from this list) Bias, Bias Amplification, and Faimess in Machine Learning