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What do the experts think about AI consciousness & moral status?

Where do they disagree, & what uncertainties are there?

We invite you to participate in a short, 10-minute survey on AI Consciousness & Moral Status (AI CoMS). Your perspective will help direct future research & inform key policy discussions.

All responses are strictly confidential & used solely for research purposes.

Take the survey now

Link: https://forms.gle/d4Knb9eNjSSm4M5QA

(Please share this widely! We are hoping to get a diverse range of views including not just academia but also industry & more.)

Thanks in advance for your valuable contribution!

Best regards,

AI CoMS Survey Team

P.S. For more information on the AI CoMS survey, please visit our site.

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Downvoted for lack of credibility.  This post appears to be making a marginal claim on high-value time and information without a supporting track record or vetting process, or even context for how it will be used.

What claim is being made here?

Re: track record, I'm a coauthor on a position paper that we've been gradually rolling out to reviewers who are well-established in this topic.

Finally, please find information about the aims of the survey in the below comment & at this webpage.

What?

Inspired by the Philpapers survey, we are conducting a survey on experts’ beliefs about key topics pertaining to AI consciousness & moral status. These include:

🧠 Consciousness/sentience

⚖️ Moral status/moral agency

💥 Suffering risk (”S-risk”) related AI consciousness (e.g. AI suffering)

⚠️ Existential risk (”X-risk”) related to AI consciousness (e.g. resource competition with conscious AI)

Why?

Such a survey promises to enrich our understanding of key safety risks related to conscious AI in several ways.

📊 Most importantly, the results of this survey provide a general picture of experts’ views about the probability, promises, & perils of AI consciousness.

  • This summary can be used to gauge expert opinion, & make it easier for policymakers, journalists, & lay people to see where the experts stand, where they disagree, & where there is uncertainty.
  • Furthermore, the survey results can also be of use to experts themselves, who may harbour misconceptions about what most other experts believe, or, owing to their specialisation, may not be abreast of advances in other areas of AI research.
  • Overall, the survey enhances the accessibility of AI research, ultimately contributing to a more AI-literate (& hence, better prepared) populace.

⚔️ Analysing the types of answers given by respondents might help to identify fault lines between industry, academia, & policy.

📈 Repeating the survey on an annual basis can assist in monitoring trends (e.g. updates in belief in response to technological advances/breakthroughs, differences in attitudes between industry & academia, emergent policy levers, etc.).

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