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>> endobj 206 0 obj << /Type /StructElem /S /P /P 109 0 R /E /Pg 14 0 R /K [7] >> endobj 207 0 obj << /Type /StructElem /S /H2 /P 109 0 R /T /E /Pg 14 0 R /K [8] >> endobj 208 0 obj << /Type /StructElem /S /Figure /P 109 0 R /Pg 14 0 R /A [447 0 R 0] /K [9] >> endobj 209 0 obj << /Type /StructElem /S /Figure /P 109 0 R /Pg 14 0 R /A [448 0 R 0] /K [10] >> endobj 210 0 obj << /Type /StructElem /S /H1 /P 110 0 R /T /E /Pg 15 0 R /K [0] >> endobj 211 0 obj << /Type /StructElem /S /P /P 110 0 R /E (1 Park, Peter S., et al. 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AI sandbagging: Language models can strategically underperform on evaluations. arXiv preprint arXiv:2406.07358, 2024; Lukas Berglund, Asa Cooper Stickland, Mikita Balesni, Max Kaufmann, Meg Tong, Tomasz Korbak, Daniel Kokotajlo, and Owain Evans. Taken out of context: On measuring situational awareness in LLMs. arXiv preprint arXiv:2309.00667, 2023.) /Pg 15 0 R /K [14] >> endobj 221 0 obj << /Type /StructElem /S /P /P 110 0 R /E <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> /Pg 15 0 R /K [15 294 0 R] >> endobj 222 0 obj << /Type /StructElem /S /Span /K [16] /Pg 15 0 R /P 294 0 R >> endobj 223 0 obj << /Type /StructElem /S /P /P 110 0 R /E (8 Anthropic & Redwood Research \(Ryan Greenblatt et al.\) \(2024\) Alignment faking in LLMs.pdf) /Pg 15 0 R /K [17] >> endobj 224 0 obj << /Type /StructElem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g 15 0 R /K [18 295 0 R 20 296 0 R 22] >> endobj 225 0 obj << /Type /StructElem /S /Span /K [19] /Pg 15 0 R /P 295 0 R >> endobj 226 0 obj << /Type /StructElem /S /Span /K [21] /Pg 15 0 R /P 296 0 R >> endobj 227 0 obj << /Type /StructElem /S /P /P 110 0 R /E <3130204368656E2C20426F7975616E2C20657420616C2E208D414920446563657074696F6E3A205269736B732C2044796E616D6963732C20616E6420436F6E74726F6C732E8E206172586976207072657072696E742061725869763A323531312E32323631392C203237204E6F762E20323032352C2068747470733A2F2F646F692E6F72672F31302E34383535302F61725869762E323531312E32323631392E204163636573736564203138204465632E20323032352E> /Pg 15 0 R /K [23 297 0 R 25] >> endobj 228 0 obj << /Type /StructElem /S /Span /K [24] /Pg 15 0 R /P 297 0 R >> endobj 229 0 obj << /Type /StructElem /S /P /P 110 0 R /E (11 Christiano, P., Leike, J., Brown, T.B., Martic, M., Legg, S., and Amodei, D. \(2017\). Deep reinforcement learning from human preferences. In Advances on Neural Information Processing Systems, 30; Park, Peter S., et al. "AI deception: A survey of examples, risks, and potential solutions." 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"Potential and pitfalls of romantic Artificial Intelligence \(AI\) companions: A systematic review." Computers in Human Behavior Reports 19 \(2025\): 100715.) /Dest [16 0 R /Fit] /Parent 7 0 R /Prev 656 0 R /Next 652 0 R >> endobj 655 0 obj << /Title (23 On the concept of Loss of Control, see The Loss of Control Playbook: Degrees, Dynamics, and Preparedness, http://arxiv.org/abs/2511.15846) /Dest [16 0 R /Fit] /Parent 7 0 R /Prev 653 0 R /Next 656 0 R >> endobj 656 0 obj << /Title 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