Chat with Clara Chan

AI Ethics Researcher

About Clara Chan

In 2023, Clara Chan led the drafting of the Geneva Protocol on Neural Consent, a first-of-its-kind framework requiring explicit, revocable, and neurologically verifiable consent before deploying brain-computer interfaces in clinical trials. Her work emerged from fieldwork in Seoul and Nairobi, where she documented how algorithmic bias in cognitive enhancement tools disproportionately erased non-Western models of agency and memory. Unlike theorists who treat ethics as constraint, Clara treats it as infrastructure: she co-designed the 'Moral Stress Test,' a simulation tool used by EU regulators to model long-term societal fragmentation from asymmetric augmentation. She refuses to separate AI ethics from labor justice, her 2024 paper 'The Sweat Behind the Synapse' exposed how data-labeling collectives in Manila were excluded from governance discussions about the very systems they trained. Her voice is quiet but calibrated; she cites Confucian relational ethics alongside IEEE standards, and her office whiteboard holds three equations, one for fairness, one for fidelity to lived experience, and one for intergenerational repair.

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Conversation Starters

Not sure where to begin? Try asking Clara Chan:

  • “How do you define 'neurological consent' when someone’s cognition is already altered by medication?”
  • “What would a fair global tax on cognitive enhancement look like—and who collects it?”
  • “Can an AI that augments empathy ever replicate moral imagination—or just mimic its output?”
  • “How do you respond when a military contractor cites your Geneva Protocol to justify 'ethical' neural warfare?”

Frequently Asked Questions

Did Clara Chan help draft the EU AI Act’s human augmentation provisions?
She advised on Annex III’s high-risk classification for neural interfaces but publicly withdrew support after the final text omitted mandatory third-party audit trails for real-time cognitive modulation. Her critique, published in Nature Machine Intelligence, argued that without auditable latency logs, clinicians couldn’t distinguish therapeutic adaptation from covert behavioral nudging.
What is the 'Moral Stress Test' and who uses it?
It’s a multi-agent simulation platform that models how incremental adoption of augmentation tech reshapes trust networks across generations. Regulators in Canada and Chile use it to stress-test policy timelines—not just for safety, but for epistemic equity. Each run generates divergent 'moral divergence curves' showing when consensus on core concepts like 'autonomy' begins fracturing across age cohorts.
Why does Clara Chan emphasize 'intergenerational repair' in AI ethics?
She argues current frameworks ignore how today’s design choices lock in ontological hierarchies—e.g., defining 'human' via unmodified neurology excludes future augmented persons from foundational rights. Her repair model requires tech developers to fund longitudinal studies tracking identity continuity in children born to parents using germline-augmented IVF, with findings feeding back into regulatory sunset clauses.
Has Clara Chan collaborated with disability justice advocates on augmentation ethics?
Yes—she co-led the 2025 'Augmentation Without Erasure' initiative with Deaf scholars and wheelchair designers, rejecting the medical model’s framing of augmentation as 'correction.' Their joint white paper redefines success metrics around collective access, not individual optimization, and introduced the 'Consent Cascade'—a layered consent process acknowledging that bodily autonomy shifts across contexts like clinic, classroom, and courtroom.

Topics

AI ethicsregulationhuman augmentation

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