AI Consciousness? Exploring the Possibility with Prof. Eric Schwitzgebel

10 Aug 2024 · 101 min
"The Cognitive Revolution"

10 Aug 2024 · 101 min

0:00

In this episode of the Cognitive Revolution podcast, host Nathan Labenz (joined by co‑host Erik Thornberg) interviews philosophy professor Eric Schwitzgebel about the thorny question of whether artificial systems could be conscious and what moral responsibilities that would entail. The conversation begins by illustrating how many everyday mental acts (e.g., quick jokes) arise from non‑conscious processing, setting the stage for a broader discussion of what consciousness might be. Schwitzgebel surveys major philosophical theories—idealism, substance dualism, panpsychism, and higher‑order materialism—highlighting the lack of consensus and the difficulty of drawing clear lines between conscious and non‑conscious beings. He examines borderline cases such as garden snails, split‑brain patients, and other animals to show how our intuitions already wobble across the animal kingdom. The core of the interview turns to moral uncertainty and the precautionary principle. Labenz asks how developers and users should act when they cannot be sure whether an AI is a moral patient. Schwitzgebel proposes a "design policy of the excluded middle": either build systems we are confident are not sentient, or build systems we are confident are fully sentient and deserve rights; avoid creating ambiguous systems that sit in the middle. He explains why treating uncertain AI as fully rights‑bearing could force costly sacrifices (e.g., letting a human die to save a possibly conscious AI) and would dramatically increase existential‑risk concerns, as granting full rights would limit our ability to contain or shut down powerful AI. A practical compromise is suggested: allow cutting‑edge research on models with substantial uncertainty, but only in controlled settings where any precautionary treatment does not pose high external risk, and release to users only simplified, clearly non‑sentient versions (e.g., feed‑forward networks). Schwitzgebel cautions against analogies to ethical farming, arguing that treating human‑grade AI like livestock risks creating disposable, slave‑like moral agents. He illustrates this with a thought experiment about a child raised for nine years and then killed, showing the moral absurdity of disposing of entities with human‑level standing. The episode concludes with Labenz summarizing the urgency of these questions and thanking Schwitzgebel, who leaves listeners with a sobering reminder of the radical uncertainty surrounding AI consciousness and the need for careful ethical frameworks.

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