Constitutional AI: Harmlessness from AI Feedback

As AI systems become more capable, we would like to enlist their help to supervise other AIs. We experiment with methods for training a harmless AI assistant through self-improvement, without any human labels identifying harmful outputs. The only human oversight is provided through a list of rules o...

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Hauptverfasser:	Bai, Yuntao, Kadavath, Saurav, Kundu, Sandipan, Askell, Amanda, Kernion, Jackson, Jones, Andy, Chen, Anna, Goldie, Anna, Mirhoseini, Azalia, McKinnon, Cameron, Chen, Carol, Olsson, Catherine, Olah, Christopher, Hernandez, Danny, Drain, Dawn, Ganguli, Deep, Li, Dustin, Tran-Johnson, Eli, Perez, Ethan, Kerr, Jamie, Mueller, Jared, Ladish, Jeffrey, Landau, Joshua, Ndousse, Kamal, Lukosuite, Kamile, Lovitt, Liane, Sellitto, Michael, Elhage, Nelson, Schiefer, Nicholas, Mercado, Noemi, DasSarma, Nova, Lasenby, Robert, Larson, Robin, Ringer, Sam, Johnston, Scott, Kravec, Shauna, Showk, Sheer El, Fort, Stanislav, Lanham, Tamera, Telleen-Lawton, Timothy, Conerly, Tom, Henighan, Tom, Hume, Tristan, Bowman, Samuel R, Hatfield-Dodds, Zac, Mann, Ben, Amodei, Dario, Joseph, Nicholas, McCandlish, Sam, Brown, Tom, Kaplan, Jared
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language
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