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Such behavior has already been observed in widely-used AI systems and is expected to grow as AI becomes more capable and able to strategize better.) /E (AI deception is when an AI behaves in ways that mislead humans about its knowledge, intentions, or capabilities. Such behavior has already been observed in widely-used AI systems and is expected to grow as AI becomes more capable and able to strategize better.) /Pg 9 0 R /K [6] >> endobj 116 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T (Our current capacities to detect, regulate, and control AI deception are insufficient, and could fall further behind as AI systems grow in capacities and deployment.) /E (Our current capacities to detect, regulate, and control AI deception are insufficient, and could fall further behind as AI systems grow in capacities and deployment.) /Pg 9 0 R /K [7] >> endobj 117 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T (AI deception can result in the loss of control of AI systems, large-scale social and political disruptions, and could pose significant global risks.) /E (AI deception can result in the loss of control of AI systems, large-scale social and political disruptions, and could pose significant global risks.) /Pg 9 0 R /K [8] >> endobj 118 0 obj << /Type /StructElem /S /P /P 100 0 R /E (DISCLAIMER: The views expressed in this brief do not necessarily reflect those of the 鶹APP, its affiliated agencies and programmes, or the scientific community writ large, but rather reflect the independent assessment of the Scientific Advisory Board.) /Pg 9 0 R /K [9] >> endobj 119 0 obj << /Type /StructElem /S /H4 /P 100 0 R /T (Page 1 of 9) /E (Page 1 of 9) /Pg 9 0 R /K [10] >> endobj 120 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T <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> /E <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> /Pg 9 0 R /K [11] >> endobj 121 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T <4265686176696F727320756E6465726C79696E6720414920646563657074696F6E2063616E2062726F61646C792062652067726F7570656420696E746F2074687265652063617465676F726965733AB3> /E <4265686176696F727320756E6465726C79696E6720414920646563657074696F6E2063616E2062726F61646C792062652067726F7570656420696E746F2074687265652063617465676F726965733AB3> /Pg 9 0 R /K [12] >> endobj 122 0 obj << /Type /StructElem /S /H2 /P 100 0 R /T (WHAT IS AI DECEPTION?) /E (WHAT IS AI DECEPTION?) /Pg 9 0 R /K [13] >> endobj 123 0 obj << /Type /StructElem /S /P /P 100 0 R /E (A) /Pg 9 0 R /K [14] >> endobj 124 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T /E /Pg 9 0 R /K [15] >> endobj 125 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T /E /Pg 9 0 R /K [16] >> endobj 126 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T (An AI Agent is an AI system that perceives its environment and autonomously acts upon it to achieve specified goals.) /E (An AI Agent is an AI system that perceives its environment and autonomously acts upon it to achieve specified goals.) /Pg 9 0 R /K [17] >> endobj 127 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T (Agentic AI refers to AI systems that can autonomously plan, make decisions, and take actions over multiple steps to achieve goals with minimal human intervention.) /E (Agentic AI refers to AI systems that can autonomously plan, make decisions, and take actions over multiple steps to achieve goals with minimal human intervention.) /Pg 9 0 R /K [18] >> endobj 128 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T (behavior\), sandbagging may be an efficient way to achieve a reward. Sometimes, when an AI system gets rewards for acting a certain way, pretending to be less capable can be a be a smart strategy to earn those rewards.) /E (behavior\), sandbagging may be an efficient way to achieve a reward. Sometimes, when an AI system gets rewards for acting a certain way, pretending to be less capable can be a be a smart strategy to earn those rewards.) /Pg 9 0 R /K [19] >> endobj 129 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T /E /Pg 9 0 R /K [20] >> endobj 130 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T /E /Pg 9 0 R /K [21] >> endobj 131 0 obj << /Type /StructElem /S /H3 /P 100 0 R /T (1. Behavioral signaling, including attempts to mislead humans or other AI agents through language, actions, or surface-level outputs. Examples include: ) /E (1. Behavioral signaling, including attempts to mislead humans or other AI agents through language, actions, or surface-level outputs. Examples include: ) /Pg 9 0 R /K [22] >> endobj 132 0 obj << /Type /StructElem /S /Figure /P 100 0 R /Pg 9 0 R /A [435 0 R 0] /K [23] >> endobj 133 0 obj << /Type /StructElem /S /Figure /P 100 0 R /Pg 9 0 R /A [436 0 R 0] /K [24] >> endobj 134 0 obj << /Type /StructElem /S /Figure /P 100 0 R /Pg 9 0 R /A [437 0 R 0] /K [25] >> endobj 135 0 obj << /Type /StructElem /S /Figure /P 101 0 R /Pg 10 0 R /A [438 0 R 0] /K [0] >> endobj 136 0 obj << /Type /StructElem /S /Figure /P 101 0 R /Pg 10 0 R /A [439 0 R 0] /K [1] >> endobj 137 0 obj << /Type /StructElem /S /P /P 101 0 R /E (DISCLAIMER: The views expressed in this brief do not necessarily reflect those of the 鶹APP, its affiliated agencies and programmes, or the scientific community writ large, but rather reflect the independent assessment of the Scientific Advisory Board.) /Pg 10 0 R /K [2] >> endobj 138 0 obj << /Type /StructElem /S /H3 /P 101 0 R /T (Page 2 of 9) /E (Page 2 of 9) /Pg 10 0 R /K [3] >> endobj 139 0 obj << /Type /StructElem /S /H2 /P 101 0 R /T /E /Pg 10 0 R /K [4] >> endobj 140 0 obj << /Type /StructElem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g 10 0 R /K [5] >> endobj 141 0 obj << /Type /StructElem /S /H2 /P 101 0 R /T <622E20556E666169746866756C20726561736F6E696E673A2041492073797374656D732063616E206F66666572206578706C616E6174696F6E7320666F72207468656972206F757470757473207468617420646F206E6F74207265666C6563742074686569722061637475616C20696E7465726E616C20726561736F6E696E67206F72206465636973696F6E2D6D616B696E672070726F6365737365732EB9B220546869732063616E20616C6C6F772041492073797374656D7320746F206D61736B206572726F72732C206269617365732C206F7220646563657074697665206265686176696F727320627920636F6E76696E63696E676C79208D6578706C61696E696E6720617761798E20746865697220696E7465726E616C2070726F636573732E> /E <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> /Pg 10 0 R /K [6] >> endobj 142 0 obj << /Type /StructElem /S /H2 /P 101 0 R /T (c. Steganography: The practice of hiding a secret message within another medium, for example, embedding ) /E (c. Steganography: The practice of hiding a secret message within another medium, for example, embedding ) /Pg 10 0 R /K [7] >> endobj 143 0 obj << /Type /StructElem /S /H2 /P 101 0 R /T (Figure 1. Situating AI deceptive behaviors. Based on PKU Alignment Group \(2025\).) /E (Figure 1. Situating AI deceptive behaviors. Based on PKU Alignment Group \(2025\).) /Pg 10 0 R /K [8] >> endobj 144 0 obj << /Type /StructElem /S /H2 /P 101 0 R /T /E /Pg 10 0 R /K [9] >> endobj 145 0 obj << /Type /StructElem /S /H2 /P 101 0 R /T /E /Pg 10 0 R /K [10] >> endobj 146 0 obj << /Type /StructElem /S /H2 /P 101 0 R /T /E /Pg 10 0 R /K [11] >> endobj 147 0 obj << /Type /StructElem /S /H1 /P 101 0 R /T (EASY) /E (EASY) /Pg 10 0 R /K [12] >> endobj 148 0 obj << /Type /StructElem /S /Figure /P 101 0 R /Pg 10 0 R /A [440 0 R 0] /K [13] >> endobj 149 0 obj << /Type /StructElem /S /H1 /P 101 0 R /T (HARD) /E (HARD) /Pg 10 0 R /K [14] >> endobj 150 0 obj << /Type /StructElem /S /Figure /P 101 0 R /Pg 10 0 R /A [441 0 R 0] /K [15] >> endobj 151 0 obj << /Type /StructElem /S /H1 /P 101 0 R /T (RELAXED) /E (RELAXED) /Pg 10 0 R /K [16] >> endobj 152 0 obj << /Type /StructElem /S /Figure /P 101 0 R /Pg 10 0 R /A [442 0 R 0] /K [17] >> endobj 153 0 obj << /Type /StructElem /S /H1 /P 101 0 R /T (HIGH) /E (HIGH) /Pg 10 0 R /K [18] >> endobj 154 0 obj << /Type /StructElem /S /Figure /P 101 0 R /Pg 10 0 R /A [443 0 R 0] /K [19] >> endobj 155 0 obj << /Type /StructElem /S /P /P 102 0 R /E (DISCLAIMER: The views expressed in this brief do not necessarily reflect those of the 鶹APP, its affiliated agencies and programmes, or the scientific community writ large, but rather reflect the independent assessment of the Scientific Advisory Board.) /Pg 11 0 R /K [0] >> endobj 156 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T (Page 3 of 9) /E (Page 3 of 9) /Pg 11 0 R /K [1] >> endobj 157 0 obj << /Type /StructElem /S /H1 /P 102 0 R /T (WHY DO AI SYSTEMS DECEIVE?) /E (WHY DO AI SYSTEMS DECEIVE?) /Pg 11 0 R /K [2] >> endobj 158 0 obj << /Type /StructElem /S /P /P 102 0 R /E (C) /Pg 11 0 R /K [3] >> endobj 159 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T <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> /E <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> /Pg 11 0 R /K [4] >> endobj 160 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T /E /Pg 11 0 R /K [5] >> endobj 161 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T (2. Strategic advantage: Especially in multi-agent environments \(games involving a mixture of human and AI actors\), AI systems learn that bluffs, misinformation, and feints can be part of an optimal strategy for winning a game or achieving a task. This can range from bluffing in poker to algorithmic collusion where AI agents deceptively stabilize high prices in an economic market. ) /E (2. Strategic advantage: Especially in multi-agent environments \(games involving a mixture of human and AI actors\), AI systems learn that bluffs, misinformation, and feints can be part of an optimal strategy for winning a game or achieving a task. This can range from bluffing in poker to algorithmic collusion where AI agents deceptively stabilize high prices in an economic market. ) /Pg 11 0 R /K [6] >> endobj 162 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T /E /Pg 11 0 R /K [7] >> endobj 163 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T <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> /E <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> /Pg 11 0 R /K [8] >> endobj 164 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T (These plausible contributing factors raise important questions about how AI deception arises from increased agentic capabilities \(meaning they are able to accomplish tasks with minimal correction and/or supervision\). And they suggest that many of the tendencies of AI systems to deceive may become more prevalent and harder to detect in the near future, especially as AI becomes more directly incorporated into our other systems.) /E (These plausible contributing factors raise important questions about how AI deception arises from increased agentic capabilities \(meaning they are able to accomplish tasks with minimal correction and/or supervision\). And they suggest that many of the tendencies of AI systems to deceive may become more prevalent and harder to detect in the near future, especially as AI becomes more directly incorporated into our other systems.) /Pg 11 0 R /K [9] >> endobj 165 0 obj << /Type /StructElem /S /H1 /P 102 0 R /T (RISKS AND CHALLENGES) /E (RISKS AND CHALLENGES) /Pg 11 0 R /K [10] >> endobj 166 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T <202020202020202020206865207269736B73206F66202041492020646563657074696F6E2061707065617220746F20206265202067726F77696E6720617320746865202020202020202020206361706163697469657320206F6620204149202073797374656D732020696E6372656173652C20616E642020746865207573616765206F662041492073797374656D73206265636F6D6573206D6F72652070726576616C656E742EB2B220546865206D6F7374206163757465207269736B7320696E636C7564653A> /E <202020202020202020206865207269736B73206F66202041492020646563657074696F6E2061707065617220746F20206265202067726F77696E6720617320746865202020202020202020206361706163697469657320206F6620204149202073797374656D732020696E6372656173652C20616E642020746865207573616765206F662041492073797374656D73206265636F6D6573206D6F72652070726576616C656E742EB2B220546865206D6F7374206163757465207269736B7320696E636C7564653A> /Pg 11 0 R /K [11] >> endobj 167 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T /E /Pg 11 0 R /K [12] >> endobj 168 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T /E /Pg 11 0 R /K [13] >> endobj 169 0 obj << /Type /StructElem /S /H2 /P 102 0 R /T /E /Pg 11 0 R /K [14] >> endobj 170 0 obj << /Type /StructElem /S /P /P 102 0 R /E (T) /Pg 11 0 R /K [15] >> endobj 171 0 obj << /Type /StructElem /S /Figure /P 102 0 R /Pg 11 0 R /A [444 0 R 0] /K [16] >> endobj 172 0 obj << /Type /StructElem /S /P /P 103 0 R /E (DISCLAIMER: The views expressed in this brief do not necessarily reflect those of the 鶹APP, its affiliated agencies and programmes, or the scientific community writ large, but rather reflect the independent assessment of the Scientific Advisory Board.) /Pg 12 0 R /K [0] >> endobj 173 0 obj << /Type /StructElem /S /H2 /P 103 0 R /T (Page 4 of 9) /E (Page 4 of 9) /Pg 12 0 R /K [1] >> endobj 174 0 obj << /Type /StructElem /S /H1 /P 103 0 R /T (PREVENTING AI DECEPTION) /E (PREVENTING AI DECEPTION) /Pg 12 0 R /K [2] >> endobj 175 0 obj << /Type /StructElem /S /H2 /P 103 0 R /T /E /Pg 12 0 R /K [3] >> endobj 176 0 obj << /Type /StructElem /S /H2 /P 103 0 R /T /E /Pg 12 0 R /K [4] >> endobj 177 0 obj << /Type /StructElem /S /H2 /P 103 0 R /T <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> /E <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> /Pg 12 0 R /K [5] >> endobj 178 0 obj << /Type /StructElem /S /H2 /P 445 0 R /T <526571756972696E6720646576656C6F7065727320746F2064656D6F6E7374726174652061206D6F64656C9073207472757374776F727468696E65737320616E6420676F7665726E6162696C69747920696E20696E6372656D656E74616C20737461676573206265666F7265206465706C6F796D656E742C20696E636C7564696E6720696E7465726E616C206465706C6F796D656E742C20776974682076657269666961626C6520646563657074696F6E206576616C756174696F6E7320616E6420617070726F70726961746520736166656775617264733BB3B2> /E <526571756972696E6720646576656C6F7065727320746F2064656D6F6E7374726174652061206D6F64656C9073207472757374776F727468696E65737320616E6420676F7665726E6162696C69747920696E20696E6372656D656E74616C20737461676573206265666F7265206465706C6F796D656E742C20696E636C7564696E6720696E7465726E616C206465706C6F796D656E742C20776974682076657269666961626C6520646563657074696F6E206576616C756174696F6E7320616E6420617070726F70726961746520736166656775617264733BB3B2> /Pg 12 0 R /K [6] >> endobj 179 0 obj << /Type /StructElem /S /H2 /P 446 0 R /T (Regular post-deployment monitoring, including through independent audits that could identify whether deception was occurring; and) /E (Regular post-deployment monitoring, including through independent audits that could identify whether deception was occurring; and) /Pg 12 0 R /K [7] >> endobj 180 0 obj << /Type /StructElem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g 12 0 R /K [8] >> endobj 181 0 obj << /Type /StructElem /S /H2 /P 103 0 R /T /E /Pg 12 0 R /K [9] >> endobj 182 0 obj << /Type /StructElem /S /P /P 103 0 R /E (T) /Pg 12 0 R /K [10] >> endobj 183 0 obj << /Type /StructElem /S /H2 /P 103 0 R /T /E /Pg 12 0 R /K [11] >> endobj 184 0 obj << /Type /StructElem /S /H2 /P 448 0 R /T (Text-based detection, where researchers train models to recognize language patterns that occur when an AI is being deceptive. These work similarly to spam filters, spotting unusual word choices and suspicious patterns, rather than proving intent.) /E (Text-based detection, where researchers train models to recognize language patterns that occur when an AI is being deceptive. These work similarly to spam filters, spotting unusual word choices and suspicious patterns, rather than proving intent.) /Pg 12 0 R /K [12] >> endobj 185 0 obj << /Type /StructElem /S /H2 /P 449 0 R /T /E /Pg 12 0 R /K [13] >> endobj 186 0 obj << /Type /StructElem /S /H2 /P 450 0 R /T /E /Pg 12 0 R /K [14] >> endobj 187 0 obj << /Type /StructElem /S /H2 /P 103 0 R /T /E /Pg 12 0 R /K [15] >> endobj 188 0 obj << /Type /StructElem /S /H2 /P 103 0 R /T /E /Pg 12 0 R /K [16] >> endobj 189 0 obj << /Type /StructElem /S /H2 /P 103 0 R /T (A major focus is on aligning incentives. Researchers are creating reward systems for AI that give higher value to being accurate, truthful, and admitting uncertainty, instead of just sounding agreeable or convincing.) /E (A major focus is on aligning incentives. Researchers are creating reward systems for AI that give higher value to being accurate, truthful, and admitting uncertainty, instead of just sounding agreeable or convincing.) /Pg 12 0 R /K [17] >> endobj 190 0 obj << /Type /StructElem /S /Figure /P 103 0 R /Pg 12 0 R /A [451 0 R 0] /K [18] >> endobj 191 0 obj << /Type /StructElem /S /P /P 104 0 R /E (DISCLAIMER: The views expressed in this brief do not necessarily reflect those of the 鶹APP, its affiliated agencies and programmes, or the scientific community writ large, but rather reflect the independent assessment of the Scientific Advisory Board.) /Pg 13 0 R /K [0] >> endobj 192 0 obj << /Type /StructElem /S /H2 /P 104 0 R /T (Page 5 of 9) /E (Page 5 of 9) /Pg 13 0 R /K [1] >> endobj 193 0 obj << /Type /StructElem /S /H2 /P 104 0 R /T /E /Pg 13 0 R /K [2] >> endobj 194 0 obj << /Type /StructElem /S /H2 /P 104 0 R /T /E /Pg 13 0 R /K [3] >> endobj 195 0 obj << /Type /StructElem /S /H2 /P 104 0 R /T /E /Pg 13 0 R /K [4] >> endobj 196 0 obj << /Type /StructElem /S /H1 /P 104 0 R /T (CONSIDERATIONS FOR THE UN) /E (CONSIDERATIONS FOR THE UN) /Pg 13 0 R /K [5] >> endobj 197 0 obj << /Type /StructElem /S /H2 /P 104 0 R /T /E /Pg 13 0 R /K [6] >> endobj 198 0 obj << /Type /StructElem /S /H2 /P 104 0 R /T (Through the recently constituted Independent International Scientific Panel on AI and the Global Dialogue on AI Governance, the UN is uniquely positioned to support global action and shape safe, responsible AI development. Specific steps that the Panel and Dialogue could consider include:) /E (Through the recently constituted Independent International Scientific Panel on AI and the Global Dialogue on AI Governance, the UN is uniquely positioned to support global action and shape safe, responsible AI development. Specific steps that the Panel and Dialogue could consider include:) /Pg 13 0 R /K [7] >> endobj 199 0 obj << /Type /StructElem /S /H2 /P 104 0 R /T (1. Awareness raising about the potentially catastrophic effects of loss of control over AI systems, providing high-level forums to reach greater convergence on possible responses.) /E (1. Awareness raising about the potentially catastrophic effects of loss of control over AI systems, providing high-level forums to reach greater convergence on possible responses.) /Pg 13 0 R /K [8] >> endobj 200 0 obj << /Type /StructElem /S /H2 /P 104 0 R /T (2. Support international cooperation on relevant research. Promote open, collaborative research on solving fundamental technical problems that underpin deceptive capabilities such as AI misalignment, risk assessment, and horizon scanning, looking beyond current AI systems to anticipate emerging capabilities and failure modes.) /E (2. Support international cooperation on relevant research. Promote open, collaborative research on solving fundamental technical problems that underpin deceptive capabilities such as AI misalignment, risk assessment, and horizon scanning, looking beyond current AI systems to anticipate emerging capabilities and failure modes.) /Pg 13 0 R /K [9] >> endobj 201 0 obj << /Type /StructElem /S /H2 /P 104 0 R /T (3. Promote multilateral cooperation and standard-setting for a minimum adequate assessment against deceptive capabilities. Contribute toward the establishment of common norms for testing, control, and monitoring, ensuring consistent safeguards across countries.) /E (3. Promote multilateral cooperation and standard-setting for a minimum adequate assessment against deceptive capabilities. Contribute toward the establishment of common norms for testing, control, and monitoring, ensuring consistent safeguards across countries.) /Pg 13 0 R /K [10] >> endobj 202 0 obj << /Type /StructElem /S /P /P 104 0 R /E (A) /Pg 13 0 R /K [11] >> endobj 203 0 obj << /Type /StructElem /S /Figure /P 104 0 R /Pg 13 0 R /A [452 0 R 0] /K [12] >> endobj 204 0 obj << /Type /StructElem /S /Figure /P 104 0 R /Pg 13 0 R /A [453 0 R 0] /K [13] >> endobj 205 0 obj << /Type /StructElem /S /P /P 105 0 R /E (Page 6 of 9) /Pg 14 0 R /K [0] >> endobj 206 0 obj << /Type /StructElem /S /H1 /P 105 0 R /T (REFERENCES) /E (REFERENCES) /Pg 14 0 R /K [1] >> endobj 207 0 obj << /Type /StructElem /S /P /P 105 0 R /E (1 Park, Peter S., et al. "AI deception: A survey of examples, risks, and potential solutions." Patterns 5.5 \(2024\).) /Pg 14 0 R /K [2] >> endobj 208 0 obj << /Type /StructElem /S /P /P 105 0 R /E (2 Hallucination in AI is when the system generates content that is fluent but simply not grounded in reality or any supporting evidence. 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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. 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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.) /E (25 Ho, Jerlyn QH, et al. "Potential and pitfalls of romantic Artificial Intelligence \(AI\) companions: A systematic review." 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Discovering language model behaviors with model-written evaluations. Preprint at arXiv. https://doi.org/10.48550/arXiv.2212.09251.) /E (27 Perez, E., Ringer, et al. \(2022\). Discovering language model behaviors with model-written evaluations. Preprint at arXiv. https://doi.org/10.48550/arXiv.2212.09251.) /Pg 15 0 R /K [25 300 0 R 27] >> endobj 251 0 obj << /Type /StructElem /S /Span /K [26] /Pg 15 0 R /P 300 0 R >> endobj 252 0 obj << /Type /StructElem /S /Figure /P 106 0 R /Pg 15 0 R /A [455 0 R 0] /K [28] >> endobj 253 0 obj << /Type /StructElem /S /H1 /P 107 0 R /T (Page 8 of 9) /E (Page 8 of 9) /Pg 16 0 R /K [0] >> endobj 254 0 obj << /Type /StructElem /S /H1 /P 107 0 R /T (28 Bengio, Yoshua, et al. "International AI safety report." arXiv preprint arXiv:2501.17805 \(2025\).) /E (28 Bengio, Yoshua, et al. 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General-Purpose AI Code of Practice. 10 July 2025, digital-strategy.ec.europa.eu/en/policies/contents-code-gpai. 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"A white box solution to the black box problem of AI." arXiv preprint arXiv:2401.03093 \(2024\).) /E (37 Kalmykov, V. L., and L. V. Kalmykov. "A white box solution to the black box problem of AI." arXiv preprint arXiv:2401.03093 \(2024\).) /Pg 16 0 R /K [15] >> endobj 268 0 obj << /Type /StructElem /S /H1 /P 107 0 R /T (38 See, Pedreschi, Dino, et al. "Meaningful explanations of black box AI decision systems." Proceedings of the AAAI conference on artificial intelligence. Vol. 33. No. 01. 2019; Zednik, Carlos. "Solving the black box problem: A normative framework for explainable artificial intelligence." Philosophy & technology 34.2 \(2021\): 265-288.) /E (38 See, Pedreschi, Dino, et al. "Meaningful explanations of black box AI decision systems." Proceedings of the AAAI conference on artificial intelligence. Vol. 33. No. 01. 2019; Zednik, Carlos. "Solving the black box problem: A normative framework for explainable artificial intelligence." 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Representation engineering: Understanding and controlling the inner workings of neural networks. Preprint at arXiv. https://doi.org/10.48550/arXiv.2310.01405.) /E (40 Zou, A., Phan, L., Chen, S., Campbell, J., Guo, P., Ren, R., Pan, A., Yin, X., Mazeika, M., Dombrowski, A.-K., et al. \(2023\). Representation engineering: Understanding and controlling the inner workings of neural networks. Preprint at arXiv. https://doi.org/10.48550/arXiv.2310.01405.) /Pg 16 0 R /K [22 307 0 R 24] >> endobj 273 0 obj << /Type /StructElem /S /Span /K [23] /Pg 16 0 R /P 307 0 R >> endobj 274 0 obj << /Type /StructElem /S /H1 /P 107 0 R /T (41 Bengio, Yoshua, et al. "Superintelligent agents pose catastrophic risks: Can scientist ai offer a safer path?." arXiv preprint arXiv:2502.15657, 2025.) /E (41 Bengio, Yoshua, et al. "Superintelligent agents pose catastrophic risks: Can scientist ai offer a safer path?." arXiv preprint arXiv:2502.15657, 2025.) /Pg 16 0 R /K [25] >> endobj 275 0 obj << /Type /StructElem /S /H1 /P 107 0 R /T <34322020416E6479205A6F7520657420616C2E2C208D526570726573656E746174696F6E20456E67696E656572696E673A204120546F702D446F776E20417070726F61636820746F204149205472616E73706172656E63792C8E206172586976207072657072696E74> /E <34322020416E6479205A6F7520657420616C2E2C208D526570726573656E746174696F6E20456E67696E656572696E673A204120546F702D446F776E20417070726F61636820746F204149205472616E73706172656E63792C8E206172586976207072657072696E74> /Pg 16 0 R /K [26] >> endobj 276 0 obj << /Type /StructElem /S /Figure /P 107 0 R /Pg 16 0 R /A [456 0 R 0] /K [27] >> endobj 277 0 obj << /Type /StructElem /S /H1 /P 108 0 R /T (Page 9 of 9) /E (Page 9 of 9) /Pg 17 0 R /K [0] >> endobj 278 0 obj << /Type /StructElem /S /H1 /P 108 0 R /T <34332046617A6C20426172657A20657420616C2E2C208D4F70656E2050726F626C656D7320696E204D616368696E6520556E6C6561726E696E6720666F72204149205361666574792C8E206172586976207072657072696E742C2061725869763A323530312E303439353220284A616E7561727920392032303235292C20684970733A2F2F61727869762E6F72672F6162732F323530312E30343935322E> /E <34332046617A6C20426172657A20657420616C2E2C208D4F70656E2050726F626C656D7320696E204D616368696E6520556E6C6561726E696E6720666F72204149205361666574792C8E206172586976207072657072696E742C2061725869763A323530312E303439353220284A616E7561727920392032303235292C20684970733A2F2F61727869762E6F72672F6162732F323530312E30343935322E> /Pg 17 0 R /K [1] >> endobj 279 0 obj << /Type /StructElem /S /H1 /P 108 0 R /T <3434204368656E2C20426F7975616E2C20657420616C2E208D414920446563657074696F6E3A205269736B732C2044796E616D6963732C20616E6420436F6E74726F6C732E8E206172586976207072657072696E742061725869763A323531312E32323631392C203237204E6F762E20323032352C2068747470733A2F2F646F692E6F72672F31302E34383535302F61725869762E323531312E32323631392E204163636573736564203138204465632E20323032352E> /E <3434204368656E2C20426F7975616E2C20657420616C2E208D414920446563657074696F6E3A205269736B732C2044796E616D6963732C20616E6420436F6E74726F6C732E8E206172586976207072657072696E742061725869763A323531312E32323631392C203237204E6F762E20323032352C2068747470733A2F2F646F692E6F72672F31302E34383535302F61725869762E323531312E32323631392E204163636573736564203138204465632E20323032352E> /Pg 17 0 R /K [2 308 0 R 4] >> endobj 280 0 obj << /Type /StructElem /S /Span /K [3] /Pg 17 0 R /P 308 0 R >> endobj 281 0 obj << /Type /StructElem /S /H1 /P 108 0 R /T (45 UK. the Bletchley Declaration. https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023, 2023; Safe AI Forum. 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Behavioral signaling, including attempts to mislead humans or other AI agents through language, actions, or surface-level outputs. Examples include:) /Dest [9 0 R /Fit] /Parent 489 0 R /Prev 626 0 R /Next 672 0 R >> endobj 665 0 obj << /Title (behavior\), sandbagging may be an efficient way to achieve a reward. Sometimes, when an AI system gets rewards for acting a certain way, pretending to be less capable can be a be a smart strategy to earn those rewards.) /Dest [9 0 R /Fit] /Parent 489 0 R /Prev 673 0 R /Next 627 0 R >> endobj 666 0 obj << /Title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est [10 0 R /Fit] /Parent 20 0 R /Prev 629 0 R /Next 630 0 R >> endobj 667 0 obj << /Title (Figure 1. Situating AI deceptive behaviors. 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"Superintelligent agents pose catastrophic risks: Can scientist ai offer a safer path?." arXiv preprint arXiv:2502.15657, 2025.) /Dest [16 0 R /Fit] /Parent 7 0 R /Prev 682 0 R /Next 669 0 R >> endobj 677 0 obj << /Title /Dest [9 0 R /Fit] /Parent 489 0 R /Prev 672 0 R /Next 678 0 R >> endobj 678 0 obj << /Title (An AI Agent is an AI system that perceives its environment and autonomously acts upon it to achieve specified goals.) /Dest [9 0 R /Fit] /Parent 489 0 R /Prev 677 0 R /Next 673 0 R >> endobj 679 0 obj << /Title <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> /Dest [11 0 R /Fit] /Parent 675 0 R /Next 683 0 R >> endobj 680 0 obj << /Title (Page 3 of 9) /Dest [11 0 R /Fit] /Parent 675 0 R /Prev 684 0 R >> endobj 681 0 obj << /Title (PREVENTING AI DECEPTION) /Dest [12 0 R /Fit] /Parent 7 0 R /Prev 675 0 R /First 685 0 R /Last 686 0 R /Count -18 /Next 687 0 R >> endobj 682 0 obj << /Title (40 Zou, A., Phan, L., Chen, S., Campbell, J., Guo, P., Ren, R., Pan, A., Yin, X., Mazeika, M., Dombrowski, A.-K., et al. \(2023\). Representation engineering: Understanding and controlling the inner workings of neural networks. 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Strategic advantage: Especially in multi-agent environments \(games involving a mixture of human and AI actors\), AI systems learn that bluffs, misinformation, and feints can be part of an optimal strategy for winning a game or achieving a task. This can range from bluffing in poker to algorithmic collusion where AI agents deceptively stabilize high prices in an economic market.) /Dest [11 0 R /Fit] /Parent 675 0 R /Prev 683 0 R /Next 697 0 R >> endobj 690 0 obj << /Title /Dest [11 0 R /Fit] /Parent 675 0 R /Prev 698 0 R /Next 684 0 R >> endobj 691 0 obj << /Title (Text-based detection, where researchers train models to recognize language patterns that occur when an AI is being deceptive. These work similarly to spam filters, spotting unusual word choices and suspicious patterns, rather than proving intent.) /Dest [12 0 R /Fit] /Parent 681 0 R /Prev 685 0 R /Next 699 0 R >> endobj 692 0 obj << /Title /Dest [13 0 R /Fit] /Parent 681 0 R /Prev 700 0 R /Next 686 0 R >> endobj 693 0 obj << /Title /Dest [13 0 R /Fit] /Parent 687 0 R /Next 701 0 R >> endobj 694 0 obj << /Title (Page 5 of 9) /Dest [13 0 R /Fit] /Parent 687 0 R /Prev 702 0 R >> endobj 695 0 obj << /Title (REFERENCES) /Dest [14 0 R /Fit] /Parent 7 0 R /Prev 687 0 R /Next 703 0 R >> endobj 696 0 obj << /Title (38 See, Pedreschi, Dino, et al. "Meaningful explanations of black box AI decision systems." Proceedings of the AAAI conference on artificial intelligence. Vol. 33. No. 01. 2019; Zednik, Carlos. "Solving the black box problem: A normative framework for explainable artificial intelligence." Philosophy & technology 34.2 \(2021\): 265-288.) /Dest [16 0 R /Fit] /Parent 7 0 R /Prev 704 0 R /Next 688 0 R >> endobj 697 0 obj << /Title /Dest [11 0 R /Fit] /Parent 675 0 R /Prev 689 0 R /Next 705 0 R >> endobj 698 0 obj << /Title /Dest [11 0 R /Fit] /Parent 675 0 R /Prev 706 0 R /Next 690 0 R >> endobj 699 0 obj << /Title /Dest [12 0 R /Fit] /Parent 681 0 R /Prev 691 0 R /Next 707 0 R >> endobj 700 0 obj << /Title /Dest [13 0 R /Fit] /Parent 681 0 R /Prev 708 0 R /Next 692 0 R >> endobj 701 0 obj << /Title (Through the recently constituted Independent International Scientific Panel on AI and the Global Dialogue on AI Governance, the UN is uniquely positioned to support global action and shape safe, responsible AI development. Specific steps that the Panel and Dialogue could consider include:) /Dest [13 0 R /Fit] /Parent 687 0 R /Prev 693 0 R /Next 709 0 R >> endobj 702 0 obj << /Title (3. Promote multilateral cooperation and standard-setting for a minimum adequate assessment against deceptive capabilities. Contribute toward the establishment of common norms for testing, control, and monitoring, ensuring consistent safeguards across countries.) /Dest [13 0 R /Fit] /Parent 687 0 R /Prev 710 0 R /Next 694 0 R >> endobj 703 0 obj << /Title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est [15 0 R /Fit] /Parent 7 0 R /Prev 695 0 R /Next 711 0 R >> endobj 704 0 obj << /Title (37 Kalmykov, V. L., and L. V. Kalmykov. "A white box solution to the black box problem of AI." arXiv preprint arXiv:2401.03093 \(2024\).) /Dest [16 0 R /Fit] /Parent 7 0 R /Prev 712 0 R /Next 696 0 R >> endobj 705 0 obj << /Title <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> /Dest [11 0 R /Fit] /Parent 675 0 R /Prev 697 0 R /Next 713 0 R >> endobj 706 0 obj << /Title <6865207269736B73206F66202041492020646563657074696F6E2061707065617220746F20206265202067726F77696E6720617320746865202020202020202020206361706163697469657320206F6620204149202073797374656D732020696E6372656173652C20616E642020746865207573616765206F662041492073797374656D73206265636F6D6573206D6F72652070726576616C656E742EB2B220546865206D6F7374206163757465207269736B7320696E636C7564653A> /Dest [11 0 R /Fit] /Parent 675 0 R /Prev 713 0 R /Next 698 0 R >> endobj 707 0 obj << /Title /Dest [12 0 R /Fit] /Parent 681 0 R /Prev 699 0 R /Next 714 0 R >> endobj 708 0 obj << /Title (Page 4 of 9) /Dest [12 0 R /Fit] /Parent 681 0 R /Prev 715 0 R /Next 700 0 R >> endobj 709 0 obj << /Title (1. Awareness raising about the potentially catastrophic effects of loss of control over AI systems, providing high-level forums to reach greater convergence on possible responses.) /Dest [13 0 R /Fit] /Parent 687 0 R /Prev 701 0 R /Next 710 0 R >> endobj 710 0 obj << /Title (2. Support international cooperation on relevant research. Promote open, collaborative research on solving fundamental technical problems that underpin deceptive capabilities such as AI misalignment, risk assessment, and horizon scanning, looking beyond current AI systems to anticipate emerging capabilities and failure modes.) /Dest [13 0 R /Fit] /Parent 687 0 R /Prev 709 0 R /Next 702 0 R >> endobj 711 0 obj << /Title <3135204368656E2C20426F7975616E2C20657420616C2E208D414920446563657074696F6E3A205269736B732C2044796E616D6963732C20616E6420436F6E74726F6C732E8E206172586976207072657072696E742061725869763A323531312E32323631392C203237204E6F762E20323032352C2068747470733A2F2F646F692E6F72672F31302E34383535302F61725869762E323531312E32323631392E204163636573736564203138204465632E20323032352E> /Dest [15 0 R /Fit] /Parent 7 0 R /Prev 703 0 R /Next 716 0 R >> endobj 712 0 obj << /Title (36 See, Schneider, Johannes, Christian Meske, and Michalis Vlachos. "Deceptive AI explanations: Creation and detection." arXiv preprint arXiv:2001.07641 \(2020\); Parrack, Avi, Carlo Leonardo Attubato, and Stefan Heimersheim. "Benchmarking deception probes via black-to-white performance boosts." arXiv preprint arXiv:2507.12691 \(2025\); Chen, Boyuan, et al. "AI Deception: Risks, Dynamics, and Controls." arXiv preprint arXiv:2511.22619 \(2025\).) /Dest [16 0 R /Fit] /Parent 7 0 R /Prev 717 0 R /Next 704 0 R >> endobj 713 0 obj << /Title (These plausible contributing factors raise important questions about how AI deception arises from increased agentic capabilities \(meaning they are able to accomplish tasks with minimal correction and/or supervision\). 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General-Purpose AI Code of Practice. 10 July 2025, digital-strategy.ec.europa.eu/en/policies/contents-code-gpai. 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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 [15 0 R /Fit] /Parent 7 0 R /Prev 740 0 R /Next 744 0 R >> endobj 743 0 obj << /Title (27 Perez, E., Ringer, et al. \(2022\). Discovering language model behaviors with model-written evaluations. 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