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AI Systems of Concern

arXiv 2310.05876 ↗First posted 9 Oct 2023cs.AIcited by 0

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Abstract (arXiv)

Concerns around future dangers from advanced AI often centre on systems hypothesised to have intrinsic characteristics such as agent-like behaviour, strategic awareness, and long-range planning. We label this cluster of characteristics as "Property X". Most present AI systems are low in "Property X"; however, in the absence of deliberate steering, current research directions may rapidly lead to the emergence of highly capable AI systems that are also high in "Property X". We argue that "Property X" characteristics are intrinsically dangerous, and when combined with greater capabilities will result in AI systems for which safety and control is difficult to guarantee. Drawing on several scholars' alternative frameworks for possible AI research trajectories, we argue that most of the proposed benefits of advanced AI can be obtained by systems designed to minimise this property. We then propose indicators and governance interventions to identify and limit the development of systems with risky "Property X" characteristics.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 16 of its 59 references that are in the map. First posted on arXiv 9 Oct 2023.

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References · 16

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
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4 more
  1. 2022Parametrically Retargetable Decision-Makers Tend To Seek Powercited by 19
  2. 2019The Transformative Potential of Artificial Intelligencecited by 15
  3. 2019Forecasting Transformative AI: An Expert Surveycited by 4
  4. 2018Between Progress and Potential Impact of AI: the Neglected Dimensionscited by 3

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