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Academic referee criticizes double standards for AI-generated papers

Enrico Fatighenti, a referee for academic papers, expressed frustration with the perceived double standard in evaluating AI-generated research. He argues that while human-generated work must meet strict standards of clarity and rigor, AI-produced papers are often lengthy, poorly written, and difficult to verify, yet still receive credit. Fatighenti advocates for applying the same rigorous evaluation criteria to AI-generated submissions as to human ones, suggesting that unreadable or unverifiable AI papers should be ignored by the academic community. AI

IMPACT Raises concerns about the academic evaluation of AI-generated research and its impact on scholarly rigor.

RANK_REASON Opinion piece from an academic referee about AI-generated papers.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Academic referee criticizes double standards for AI-generated papers

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3 / 100
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Opinion piece from an academic referee about AI-generated papers.
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opinion, paper
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Quote from Enrico Fatighenti: > What bothers me most is the double standard. > > Whenever I referee a paper, or receive a thesis or project from a student, I ap

    Quote from Enrico Fatighenti: > What bothers me most is the double standard. > > Whenever I referee a paper, or receive a thesis or project from a student, I apply the same standards that most of us do. If a paper or thesis is so badly written that I cannot get past the first pag…