Current and forthcoming developments in bioengineering, synthetic morphology, artificial intelligence, biorobotics, and exobiology necessitate an expansion and generalization of sentience assessment efforts.

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• Sentience assessment should seek deep invariants across possible minds, not arbitrary criteria tied to evolution on Earthclaim0.836
  Core normative claim: frameworks must identify fundamental properties of sentience independent of phylogenetic accident or familiar substrates.
• We take our principal contributions in this report to be: 1. Showing that the assessment of consciousness in AI is scientifically tractable ... 2. Proposing a rubric for assessing consciousness in AI ... 3. Providing initial evidence that many of the indicator properties can be implemented in AI systems using current techniques ...quote0.820
  Summary of contributions.
• Harnessing the native capability of collective intelligence in the service of biomedicine or bioengineering will require a much better understanding of how to identify, characterise and motivate emergent agents in anatomical, physiological and transcriptional spaces.claim0.815
  Identifies a key future research direction.
• Progress in machine behavior science and biohybrid engineering breaks down the simplistic dualism of life vs. machine, revealing a continuum of emergence, rational control, and agency.claim0.805
  Second central claim: life and machine form a continuous multidimensional space, not discrete bins
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.799
  Central methodological claim of the paper.
• Many recent discussions of AI, and its impact on individuals and on society, are importantly incomplete because they neglect Diverse Intelligence, synthetic morphology, and developmental biology.claim0.799
  Central thesis of the paper — the framing premise from which all other arguments follow
• Verbal reports, homology, and phylogenetic provenance are insufficient to determine sentience in unconventional agents.claim0.798
  Core claim: Turing test and brain homology fail for synthetic, AI, and radically non-human agents; new frameworks required.
• How can we develop reliable sentience criteria for agents exhibiting intelligence in metabolic, transcriptional, and anatomical problem spaces humans do not recognize as intelligent?question0.795