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Addressing Common Issues in Philosophy of Artificial Intelligence Papers

This guide discusses common problems in philosophy of AI papers, such as failure to follow prescribed structure, lack of careful use of sources, and misspelling author names. Key points include the necessity of carefully analyzing and reacting to text and addressing specific content problems. Learn how to structure arguments correctly and provide convincing responses to critical questions. 8 Relevant

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Addressing Common Issues in Philosophy of Artificial Intelligence Papers

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  1. Common Problems with Papers Philosophy of AI Selmer Bringsjord selmer@rpi.edu www.rpi.edu/~brings

  2. Failure to Follow Prescribed Structure • Structure is • “My main thesis is that …” • “Now here’s the argument for my thesis. First, it seems plausible that …” • P1 P2 … P2 Therefore Q • “At this point someone might object as follows.” • “This objection fails because …”

  3. Did you read, and carefully use what you read? • Careful analysis and reaction to text essential. • For extreme case consider “A Refutation of Penrose’s Godelian Case Against AI” • No quotes? • The names of our authors misspelled

  4. These Papers vs. Proposal for Venture Capital

  5. Many Specific Content Problems Remarked Upon in Comments, e.g. • Many of you agreed that for each question Qi to Searle’s CR there is a convincing response Ri. Therefore you would need to consider the book • Q1  R1 • Q2  R2 • … • Qn  Rn

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