Experts assigned a median probability of 37.5% to AI rights becoming politically contentious in the US (Caviola and Saad 2025).

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• The risk of under-attribution of AI welfare appears to be both reasonably likely and reasonably harmful.claim0.763
  Key motivation for precautionary action.
• Even if the chance of near-future AI moral patienthood were as low as 2%, that would still constitute a non-negligible risk.claim0.743
  Argument that uncertainty is not a reason to ignore the issue.
• Researcher bias and the hardware lottery contribute to apparent convergence in AI models beyond the proposed theoretical pressuresclaim0.741
  Alternative explanation for observed convergence: AI community designs systems to mimic human reasoning
• What if the probability of AI welfare and moral patienthood is low?question0.737
  Decision-making under low probability but high stakes.
• Bai et al. 2022: Constitutional AI — harmlessness from AI feedbackconcept0.734
  Paper on AI-feedback fine-tuning as alternative to human-feedback RLHF; cited as ref 20
• Excluding AI systems from deliberation about their own treatment may undermine advocates' democratic hope, though justified hope remains possible while human advocates participate fairly.claim0.733
  Nuanced treatment of the boundary problem as applied to AI deliberative participation.
• Caviola & Saad 2025: expert survey finds broad consensus that digital minds capable of subjective experience are plausible within this century, many expecting such systems to proactively claim consciousnessfinding0.733
  Expert forecast cited to establish urgency of the research question
• 25th percentile of Assistant Axis projection distribution gives the most Pareto-optimal safety-capability tradeoff for activation capping, and approximately matches mean Assistant response activationfinding0.729
  Calibration finding for choosing the activation cap threshold