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From artificial intelligence to semi-creative inorganic intelligence: a blockchain-based bioethical metamorphosis

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Abstract

The label “artificial intelligence” (AI) hides a contradiction in terms, i.e. it classifies as artificial an intelligent existence whose skeleton/hardware is not carbon-based. An inorganic intelligence that springs from human intelligence experiences a different (silicon-based) but not essentially unequal tangible nature: both of them are generative/creative. Building on this observation, the paper reveals and explores its core insight, semi-creative inorganic intelligence (S-CII), which is at once a scientific policy directive and the (complex) moral condition of limited creativity that non-human intelligence should assume to avoid the human species extinction. But how to implement such a perspective? Behold a problematisation that led to a brief expedition into scientific research conceived at the human condition’s frontier, in order to delineate the dangers that gravitate a full AI. As the narrative unfolds, a bioethics-inspired solution is proposed and demonstrated: the feasibility of using blockchain as a regulatory mechanism for S-CII.

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References

  1. Sagan, C.: Carl Sagan’s Cosmic Connection. Cambridge, UK: Cambridge University Press. Available: (2000). https://ui.adsabs.harvard.edu/abs/2000cscc.book… S/abstract

  2. Nietzsche, F.: Sämtliche Werke. Kritische Studienausgabe in 15 Bänden. Walter de Gruyter/DTV, Berlin/München (1988)

    Google Scholar 

  3. Strubell, E., Ganesh, A., McCallum, A.: Energy and Policy considerations for Deep Learning in NLP. ar**v (Preprint). (2019). https://doi.org/10.48550/ar**v.1906.02243

    Article  Google Scholar 

  4. Sworna, Z., Sreekumar, A., Islam, C., Ali Babar, M.: Security tools’ API recommendation using machine learning. Proc. 18th Int. Conf. Evaluation Novel Approaches Softw. Eng. (ENASE). 27–38 (2023). https://doi.org/10.5220/0011708300003464

  5. Mackey, T., et al.: A Framework proposal for Blockchain-Based Scientific Publishing using Shared Governance. Front. Blockchain. 2 (2019). 19https://doi.org/10.3389/fbloc.2019.00019

  6. Cellan-Jones, R.: Stephen Hawking warns artificial intelligence could end mankind. BBC News. Available: (2014). https://www.bbc.com/news/technology-30290540

  7. Ables, K.: Musk’s Neuralink implants brain chip in its first human subject. The Washington Post. Available: (2024). https://www.washingtonpost.com/business/2024/01/30/neuralink-musk-first-human-brain-chip/

  8. Neuralink Clinical Trial Brochure: PRIME Study: Precise Robotically Implanted Brain-Computer Interface. Neuralink. Available: (2024). https://neuralink.com/pdfs/PRIME-Study-Brochure.pdf

  9. Mitchell, P., Lee, S., Yoo, P., et al.: Assessment of Safety of a fully implanted endovascular brain-computer interface for severe paralysis in 4 patients: The Stentrode with Thought-Controlled Digital switch (SWITCH) study. JAMA Neurol. 80, 270–278 (2023). https://doi.org/10.1001/jamaneurol.2022.4847

    Article  PubMed  PubMed Central  Google Scholar 

  10. Metzger, S., Liu, J., Moses, D., et al.: Generalizable spelling using a speech neuroprosthesis in an individual with severe limb and vocal paralysis. Nat. Commun. 13, 6510 (2022). https://doi.org/10.1038/s41467-022-33611-3

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  11. Drew, L.: Elon Musk’s neuralink brain chip: What scientists think of first human trial. Nature. (2024). https://doi.org/10.1038/d41586-024-00304-4

    Article  PubMed  Google Scholar 

  12. Nakamoto, S.: Bitcoin: A Peer-to-Peer Electronic Cash System. SSRN, 1–9. (2008). https://doi.org/10.2139/ssrn.3440802

  13. Greve, F., Sens, P., Arantes, L., Simon, V.: Eventually strong failure detector with unknown membership. Comput. J. 55, 1507–1524 (2012). https://doi.org/10.1093/comjnl/bxs084

    Article  Google Scholar 

  14. Krenn, M., Erhard, M., Zeilinger, A.: Computer-inspired quantum experiments. Nat. Rev. Phys. 2, 649–661 (2020). https://doi.org/10.1038/s42254-020-0230-4

    Article  Google Scholar 

  15. Goodenough, J., Braga, M.: Batteries for electric road vehicles. Dalton Trans. 47, 645–648 (2018). https://doi.org/10.1039/C7DT03026F

    Article  CAS  PubMed  Google Scholar 

  16. Månsson, M., et al.: Na-ion dynamics in Quasi-1D compound NaV2O4. J. Phys. Conf. Ser. 551, 012035 (2014). https://doi.org/10.1088/1742-6596/551/1/012035

    Article  Google Scholar 

  17. Kang, H.-W., Atala, A., et al.: A 3D bioprinting system to produce human-scale tissue constructs with structural integrity. Nat. Biotechnol. 34, 312–319 (2016). https://doi.org/10.1038/nbt.3413

    Article  CAS  PubMed  Google Scholar 

  18. Alexander, G., Hines, M.: Sex differences in response to children’s toys in nonhuman primates (Cercopithecus aethiops sabaeus). Evol. Hum. Behav. 23, 467–479 (2002). https://doi.org/10.1016/S1090-5138(02)00107-1

    Article  Google Scholar 

  19. Allen, R., Lidström, S.: Life, the Universe, and everything—42 fundamental questions. Phys. Scr. 92, 012501 (2017). https://doi.org/10.1088/0031-8949/92/1/012501

    Article  ADS  CAS  Google Scholar 

  20. The Guardian: Leonardo’s Vitruvian Man can go to the Louvre, court rules. Guardian News & Media Limited. Available: (2019). https://www.theguardian.com/artanddesign/2019/oct/16/leonardo-da-vinci-vitruvian-man-louvre-court

  21. Mauranyapin, N., Madsen, L., Taylor, M., Waleed, M., Bowen, W.: Evanescent single-molecule biosensing with quantum-limited precision. Nat. Photon. 11, 477–481 (2017). https://doi.org/10.1038/nphoton.2017.99

    Article  CAS  Google Scholar 

  22. Porter, M., Reichl, L., et al.: Chaos in the band structure of a soft Sinai lattice. Phys. Rev. E. 95, 052213 (2017). https://doi.org/10.1103/PhysRevE.95.052213

    Article  ADS  PubMed  Google Scholar 

  23. Katsnelson, M., Wolf, Y., Koonin, E.: Towards physical principles of biological evolution. Phys. Scr. 93, 043001 (2018). https://doi.org/10.1088/1402-4896/aaaba4

    Article  ADS  CAS  Google Scholar 

  24. Yasskin, P., Stoeger, W.: Propagation equations for test bodies with spin and rotation in theories of gravity with torsion. Phys. Rev. D. 21, 2081 (1980). https://doi.org/10.1103/PhysRevD.21.2081

    Article  ADS  MathSciNet  CAS  Google Scholar 

  25. Coley, A.: Open problems in mathematical physics. Phys. Scr. 92, 093003 (2017). https://doi.org/10.1088/1402-4896/aa83c1

    Article  ADS  CAS  Google Scholar 

  26. Babcock, J., Kramar, J., Yampolskiy, R.: Guidelines for Artificial Intelligence Containment. ar**v. 170708476v1 (2017). https://doi.org/10.48550/ar**v.1707.08476

  27. Alexander, G., et al.: The sounds of science—a symphony for many instruments and voices. Phys. Scr. 95, 062501 (2020). https://doi.org/10.1088/1402-4896/ab7a35

    Article  ADS  CAS  Google Scholar 

  28. Kim, H., Bojar, D., Fussenegger, M.: A CRISPR/Cas9-based central processing unit to program complex logic computation in human cells. PNAS. 116, 7214–7219 (2019). https://doi.org/10.1073/pnas.1821740116

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  29. O’Neil, C.: Weapons of math destruction: how big data increases inequality and threatens democracy. New York: Crown. Available: (2016). https://edisciplinas.usp.br/pluginfile.php/4605464/mod_resource/content/1/%28FFLCH%29%20LIVRO%20Weapons%20of%20Math%20Destruction%20-%20Cathy%20ONeal.pdf

  30. Calice, M., Bao, L., Freiling, I., et al.: Polarized platforms? How partisanship shapes perceptions of algorithmic news bias. New. Media Soc. (2021). https://doi.org/10.1177/14614448211034159

    Article  Google Scholar 

  31. Yang, S., Krause, N., Bao, L., et al.: In AI we trust: The interplay of Media Use, political ideology, and trust in sha** emerging AI attitudes. Journalism Mass. Communication Q. (2023). https://doi.org/10.1177/10776990231190868

    Article  Google Scholar 

  32. The National Aeronautics and Space Administration: The Fifth State of Matter. NASA. Available: (2023). https://science.nasa.gov/biological-physical/stories/the-fifth-state-of-matter/

  33. Vopson, M.: Experimental protocol for testing the mass-energy-information equivalence principle. AIP Adv. 12, 035311 (2022). https://doi.org/10.1063/5.0087175

    Article  ADS  Google Scholar 

  34. Skiba, D.: The potential of blockchain in education and healthcare. Nurs. Educ. Perspect. 38, 220–221 (2017). https://doi.org/10.1097/01.NEP.0000000000000190

    Article  PubMed  Google Scholar 

  35. Mengelkamp, E., Notheisen, B., Beer, C., Dauer, D., Weinhardt, C.: A blockchain-based smart grid: Towards sustainable local energy markets. CSRD. 33, 207–214 (2017). https://doi.org/10.1007/s00450-017-0360-9

    Article  Google Scholar 

  36. Nurunnabi, M., Hossain, M.A.: Data falsification and question on academic integrity. Acc. Res. 26, 108–122 (2019). https://doi.org/10.1080/08989621.2018.1564664

    Article  Google Scholar 

  37. Chen, G., Xu, B., Lu, M., Chen, N.-S.: Exploring blockchain technology and its potential applications for education. Smart Learn. Environ. 5, 1 (2018). https://doi.org/10.1186/s40561-017-0050-x

    Article  ADS  Google Scholar 

  38. Flesher, S., et al.: A brain-computer interface that evokes tactile sensations improves robotic arm control. Science. 372, 831–836 (2021). https://doi.org/10.1126/science.abd0380

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  39. Moses, D., et al.: Neuroprosthesis for Decoding Speech in a paralyzed person with Anarthria. N Engl. J. Med. 385, 217–227 (2021). https://doi.org/10.1056/NEJMoa2027540

    Article  PubMed  PubMed Central  Google Scholar 

  40. Gupta, A., et al.: Neuroprosthetics: From sensorimotor to cognitive disorders. Commun. Biol. 6, 14 (2023). https://doi.org/10.1038/s42003-022-04390-w

    Article  PubMed  PubMed Central  Google Scholar 

  41. Willsey, M., et al.: Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder. Nat. Commun. 13, 6899 (2022). https://doi.org/10.1038/s41467-022-34452-w

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  42. Kim, H.M., Laskowski, M.: Toward an ontology-driven blockchain design for supply-chain provenance. Intell. Syst. Acc. Finance Manage. 25, 18–27 (2018). https://doi.org/10.1002/isaf.1424

    Article  Google Scholar 

  43. Zou, W., et al.: Smart contract development: Challenges and opportunities. IEEE Trans. Softw. Eng. 47, 2084–2106 (2021). https://doi.org/10.1109/TSE.2019.2942301

    Article  Google Scholar 

  44. Kleinaki, A.S., Mytis-Gkometh, P., Drosatos, G.L., Efraimidis, P.S., Kaldoudi, E.: A blockchain-based notarization service for biomedical knowledge retrieval. Comput. Struct. Biotechnol. J. 16, 288–297 (2018). https://doi.org/10.1016/j.csbj.2018.08.002

    Article  PubMed  PubMed Central  Google Scholar 

  45. Araújo, A.: Fundamentos de Antropologia Bioética (Foundations of Bioethical Anthropology). São Paulo: Annablume. Available: (2004). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1439102

  46. Potter, R.: Bioethics, the Science of Survival. Perspectives in Biology and Medicine. Project MUSE. 14, 127–153 (1970). https://doi.org/10.1353/pbm.1970.0015

    Article  Google Scholar 

  47. Miller, H.: Big Sur and the Oranges of Hieronymus Bosch. New York: New Directions. Available: (1957). https://books.google.to/books?id=Q4zL_kXuN4gC&printsec=frontcover&hl=it#v=onepage&q&f=false

  48. Floreano, D., et al.: From individual robots to robot societies. Sci. Robot. 6, eabk2787 (2021). https://doi.org/10.1126/scirobotics.abk2787

    Article  PubMed  Google Scholar 

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  1. Center for Transdisciplinary Research in Bioethics, Bahia School of Medicine, Federal University of Bahia (NETBIO, UFBA), Rua Doutor Augusto Viana, s/n, Canela, Salvador, 40110-060, Bahia, Brazil

    Antonio Araújo

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Araújo, A. From artificial intelligence to semi-creative inorganic intelligence: a blockchain-based bioethical metamorphosis. AI Ethics (2024). https://doi.org/10.1007/s43681-024-00471-0

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