Skip to main content

Artificial Intelligence: A Concept Under-Construction, A Reality Under-Development

  • Chapter
  • First Online:
Towards Trustworthy Artificial Intelligent Systems

Abstract

At a time, the term [Artificial Intelligence] increasingly populates public speech blurring the boundaries of its initial scope of reference and running the risk of becoming a general category—an “umbrella term”—both for sociotechnical systems as well as for computational techniques, the present paper aims to grasp its core semantic identity by mapping the concept of [Artificial Intelligence] onto that of its logic correlate [Natural Intelligence]. But the mere definition of [intelligence] is complex as it involves much more than just a “semantic exercise” of deconstruction attempting lexicographic clarification. It demands the definition of an epistemological framework capable of originating and justifying the ontological presence of the term. The present chapter assumes cognition as an embodied, embedded, and always situated process whose dynamo is semiosis, i.e., the essential “interpretative” process that takes place within the dialectic relationship binding an organism to its environment. In this epistemological framework, intelligence is viewed not as a human-specific endowment but as an existential attribute inherent of all life forms. An attribute that is responsible for their adequate response to environmental prompts, for their capacity to adapt, their capacity to strive, persist, live and replicate. This framework, that is fundamental to analyse and understand the universal phenomenon of natural cognition and the essence of organic intelligence in its multiple diversity, also provides the necessary grounding to clarify what is at stage when we refer to artificial intelligence, simultaneously allowing to identify the fundamental changes that are being introduced in the typical forms of cognition by the on-going massive incorporation of artificial intelligent systems (AIS) and the digitization of daily reality. We believe this theoretical grounding will contribute (i) to clarify the semantic substance associated to the concept of [Artificial Intelligence] as well as its scope of reference (ii) to identify the new forms of Agent/Environment relationship brought about by the incorporation of sociotechnical systems in different domains of life (iii) to develop (AIS) that are context sensitive, i.e., that are capable of identifying and respecting the values substantiated in the social/cultural matrix present in the context they are embedded in, while achieving their expected goals efficiently.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    Following the neo-Kantian approach defined by Ferreira [11, 13].

  2. 2.

    Cf. Li and Du [32: 1], Haenlein and Kaplan [28], OECD [38: 7], among many others.

  3. 3.

    In the sense that life itself and the existential dynamics depend on the correctness of this essential “interpretative” phenomenon.

  4. 4.

    Cf. on this purpose Gibson [25] concepts of affordances and invariants.

  5. 5.

    See footnote 4.

  6. 6.

    Cf. Ferreira [18].

  7. 7.

    For a detailed account and description cf. Ferreira and Caldas [16, 21].

  8. 8.

    According to Ferreira [19] these human specific attributes, that in some cases exist in very incipient forms in other species, are (i) a conceptualising and symbolic capacity, (ii) a tool making capacity and (iii) the generative goal-oriented productive action—the transformative power of work. Cf: “On Human Condition”, Proceedings of the 6th International Conference on Robot Ethics and Standards- ICRES 2021. https://www.clawar.org/icres2021/ and “On Human Condition: The Status of Work” (2021) in Maria Isabel Aldinhas Ferreira and Sarah Fletcher eds, The 21st Century Industrial Robot: When Tools Become Collaborators, Springer, ISCA series.

  9. 9.

    Interpretation signifies here assigning a certain value-meaning to an environmental feature or pattern.

  10. 10.

    Cf. Ferreira [15].

  11. 11.

    Cf. Keucheyan [17] on the concept of “besoin”.

  12. 12.

    See footnote 11.

  13. 13.

    Cf. McCarthy [36].

  14. 14.

    https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond/.

  15. 15.

    ibidem.

  16. 16.

    Cf. Scott et al. [42].

  17. 17.

    Cf. Varela [51].

References

  1. Barbieri M (ed) (2007) Introduction to biosemiotics: the new biological synthesis. Springer, Berlin

    Google Scholar 

  2. Barbieri M (2009) A short history of biosemiotics. Biosemiotics 2:221–245. https://doi.org/10.1007/s12304-009-9042-8

  3. Barthes R (1973) Elements de semiology. Translated by Annette Lavers and Colin Smith. Hill and Wang, New York

    Google Scholar 

  4. Carpo M (2017) The second digital turn: design beyond intelligence. The MIT Press, Cambridge, MA

    Google Scholar 

  5. Carroll L (2000 [1871]) Alice’s adventure’s in Wonderland and through the looking-glass. Signet Classic. New American Library. Penguin Putnam Inc., New York, USA

    Google Scholar 

  6. Cassirer E (1985) The philosophy of symbolic forms. Vol 3. The phenomenology of knowledge. Yale University Press, New York

    Google Scholar 

  7. Cassirer E (1996) The philosophy of symbolic forms. Vol. 4. The Metaphysics of symbolic forms. Yale University Press, New York

    Google Scholar 

  8. Commission Nationale Consultative des Droits de L’Homme AVIS RELATIF À L’IMPACT DE L’INTELLIGENCE ARTIFICIELLE SUR LES DROITS FONDAMENTAUX, Avril 2020. https://media-exp1.licdn.com/dms/document/C561FAQE2RLaDKvZIcA/feedshare-document-pdf-analyzed/0/1649439818618?e=2147483647&v=beta&t=JTZxVV834zxVHJvLIIHXrsQ-2_939ui1pD9WWtBOVkE

  9. Damásio A (2017) The strange order of things: life, feeling, and the making of cultures. Vintage

    Google Scholar 

  10. Dewey J (1958 [1925]) Experience and nature. Dover, New York

    Google Scholar 

  11. Ferreira MIA (2007) On meaning: the phenomenon of individuation and the definition of a world view. Ph.D. thesis. University of Lisbon, Lisbon

    Google Scholar 

  12. Ferreira MIA (2010) On meaning: a biosemiotic approach. Biosemiotics 3(1):107–130. https://doi.org/10.1007/s12304-009-9068-y

  13. Ferreira MIA (2011) On meaning: individuation and identity. The definition of a world view. Cambridge Scholars Publishing, Cambridge

    Google Scholar 

  14. Ferreira MIA (2012) Modelling artificial cognition in biosemiotic terms. Biosemiotics 6:245–252. https://doi.org/10.1007/s12304-012-9159-z

  15. Ferreira MIA (2013) Typical cyclical behavioural patterns: the case of routines, rituals and celebrations. Biosemiotics 7:63–72. https://doi.org/10.1007/s12304-012-9159-z

  16. Ferreira MIA (2015) Semiosis: the dialectics of cognition. In: Trifonas P (ed) International handbook of semiotics. Springer, Netherlands. ISBN-13: 978-9401794039. https://doi.org/10.1007/978-94-017-9404-6

  17. Ferreira MIA (2018) Cognitive architectures: the dialectics agent/environment. In: Ferreira MIA, Sequeira J, Ventura R (eds) Cognitive architectures, intelligent systems, control and automation: science and engineering, vol 94. Springer. https://doi.org/10.1007/978-3-319-97550-4_14

  18. Ferreira MIA (2020) How smart is your city? In: Ferreira MIA (ed) Technological innovation, ethics and inclusiveness. Springer, Cham. ISBN: 978-3-030-56925-9. https://doi.org/10.1007/978-3-030-56926-6

  19. Ferreira MIA (2021) On human condition. In: Proceedings of the 6th international conference on robot ethics and standards—ICRES 2021. https://www.clawar.org/icres2021/

  20. Ferreira MIA (2022) On human condition: the status of work. In: Ferreira MIA et al (eds) The 21st century industrial robot: when tools become collaborators. Intelligent systems, control and automation: science and engineering series. Springer

    Google Scholar 

  21. Ferreira MIA, Caldas MG (2012) Modelling artificial cognition in biosemiotic terms. Biosemiotics (August 2013) 6(2):245–252. Springer. ISSN 1875-1342. https://doi.org/10.1007/s12304-012-9159-z

  22. Fleischemann RW Jr (1996) Viral genetics. In: Baron S (ed) Medical microbiology, 4th edn, Chapter 43. University of Texas, Medical Branch at Gavelstone

    Google Scholar 

  23. Fox E (2005) Ecosystems, organisms and machines. BioScience 55(12):1069

    Google Scholar 

  24. Gavish L (2021) What is data observability and why it matters. In thenewsack.io https://thenewstack.io/what-is-data-observability-and-why-does-it-matter/ (April 2021)

  25. Gibson J (1979) The ecological approach to visual perception. Houghton Mifflin, Boston

    Google Scholar 

  26. Glennan S (2017) The new mechanical philosophy. Oxford University Press

    Book  Google Scholar 

  27. Gottlieb G (1971) Ontogenesis of sensory function in birds and mammals. In: Tobach E, Aronson L, Shaw E (eds) The biopsychology of development, vol 81. Academic Press. New York

    Google Scholar 

  28. Haenlein M, Kaplan A (2019) A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. Calif Manag Rev 61(4):5–14. https://doi.org/10.1177/0008125619864925

  29. Hoffmeyer J (2008) Biosemiotics: an examination into the signs of life and the life of signs. University of Scranton Press, Scranton/London

    Google Scholar 

  30. Hoffmeyer J (2012) The natural history of intentionality, a biosemiotic approach. In: Schilhab T et al (eds) The symbolic species evolved, biosemiotics, vol 6, 6 C. Springer Science+Business Media B.V. https://doi.org/10.1007/978-94-007-2336-8

  31. Lecanuet JP, Granier-Deferre C, Busnel MC (1995) Human fetal auditory perception. In: Lecanuet JP, Fifer WP, Krasnegor N, Smotherman WP (eds) Fetal development—a psychobiological perspective. Lawrence Erlbaum Associates, Publishers, New Jersey

    Google Scholar 

  32. Li D, Du Y (2007) Artificial intelligence with uncertainty, 1st edn. Chapman and Hall/CRC. https://doi.org/10.1201/9781584889991

  33. Lickliter R (1995) Embryonic sensory experience and intersensory development in precocial birds. In: Lecanuet JP, Fifer WP, Krasnegor N, Smotherman WP (eds) Fetal development–a psychobiological perspective. Lawrence Erlbaum Associates, Publishers, New Jersey

    Google Scholar 

  34. Littman ML, Ajunwa I, Berger G, Boutilier C, Currie M, Doshi-Velez F, Hadfield G, Horowitz MC, Isbell C, Kitano H, Levy K, Lyons T, Mitchell M, Shah J, Sloman S, Vallor S, Walsh T (2021) Gathering strength, gathering storms: the one hundred year study on artificial intelligence. (AI100) 2021 study panel report. Stanford University, Stanford, CA, September 2021. Doc. http://ai100.stanford.edu/2021-report. Accessed 16 Sept 2021

  35. MacKenzie M (2016) J Philos Stud 31:21–36

    Google Scholar 

  36. McCarthy M (2006) A proposal for the Darmouth Summert Research Project. https://ojs.aaai.org//index.php/aimagazine/article/view/1904

  37. Nagel T (1974) What is it like to be a bat? Philoso Rev 83(4):435–450

    Google Scholar 

  38. OECD (2019) Artificial intelligence in society. OECD Publishing, Paris. https://doi.org/10.1787/eedfee77-en

  39. Peirce CS (1932) The collected papers of Charles Sanders Peirce, 8 vols. Harvard University Press, Cambridge, MA

    Google Scholar 

  40. Schaal B, Orgeur P, Rognon C (1995) Odor sensing in human fetus: anatomical, functional, and chemoecological bases. In: Lecanuet JP, Fifer WP, Krasnegor N, Smotherman WP (eds) Fetal development—a psychobiological perspective. Lawrence Erlbaum Associates, Publishers, New Jersey

    Google Scholar 

  41. Schmarzo B https://www.datasciencecentral.com/profiles/blogs/the-power-of-determining-user-intent (6 November 2021)

  42. Scott R, MacPherson B, Gras R (2018) EcoSim, an enhanced artificial ecosystem: addressing deeper behavioral, ecological, and evolutionary questions. In: Ferreira MIA, Sequeira J, Ventura R (eds) Cognitive architectures, intelligent systems, control and automation: science and engineering, vol 94. Springer. https://doi.org/10.1007/978-3-319-97550-4_14

  43. Sebeok TA (1976). Studies in semiotics. Contributions to the doctrine of signs. Indiana University Press, Bloomington, pp 1–45

    Google Scholar 

  44. Sebeok TA (1991) Semiotics in the United States. Indiana University Press, Bloomington

    Google Scholar 

  45. Sequence. https://thesequence.substack.com/p/labelbox?token=eyJ1c2VyX2lkIjoxODQ5OTk1MywicG9zdF9pZCI6NDQ3OTQ5ODcsIl8iOiJIUnhyQyIsImlhdCI6MTYzODM2NjEyMiwiZXhwIjoxNjM4MzY5NzIyLCJpc3MiOiJwdWItNTQzMDkiLCJzdWIiOiJwb3N0LXJlYWN0aW9uIn0.2T5n22BfDWuAC7U3CL8YxYl4UiQ_Oaeo_bEtq_CfmCE

  46. Simondon G (1964) L’Individu et sa genèse physico-biologique. PUF, Paris

    Google Scholar 

  47. Smotherman WP, Robinson SR (1988) The uterus as environment: the ecology of fetal behavior. In: Blass EM (ed) Handbook of behavioral neurobiology, vol. 9, Developmental psychobiology and behavioral ecology. Plenum, New York

    Google Scholar 

  48. Smotherman WP, Robinson SR (1995) Developmental trajectories. In: Lecanuet JP, Fifer WP, Krasnegor N, Smotherman WP (eds) Fetal development–a psychobiological perspective. Lawrence Erlbaum Associates, Publishers. New Jersey

    Google Scholar 

  49. Stahl B (2020) Artificial intelligence for a better future: an ecosystem perspective on AI ethics and digital emerging technologies. Springer Briefs in Research and Innovation. Springer International Publishing

    Google Scholar 

  50. Thompson E (2011) Living ways of sense making. Philos Today 55(Supplement):114–123

    Google Scholar 

  51. Varela F (1992) Autopoiesis and a biology of intentionality. In: Proceedings from the Dublin workshop on autopoiesis and perception, essay 1. www.eeng.deu.ie/pub/autonomy/bmem9401

  52. Varela FJ, Thompson E, Rosch E (2017, 1991) The embodied mind: cognitive science and human experience. MIT Press

    Google Scholar 

  53. von Uexküll J (1973 [1928]) Theoretische Biologie. Frankfurt am Main, Suhrkamp

    Google Scholar 

  54. von Uexkull J (1933) A theory of meaning. In a foray in the world of animals and humans. In: Wolfe C (ed) Posthumanities, vol 12. Minnesota Press 2010.

    Google Scholar 

  55. White Paper on Artificial Intelligence Feb 2019, European Commission

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maria Isabel Aldinhas Ferreira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ferreira, M.I.A. (2022). Artificial Intelligence: A Concept Under-Construction, A Reality Under-Development. In: Ferreira, M.I.A., Tokhi, M.O. (eds) Towards Trustworthy Artificial Intelligent Systems. Intelligent Systems, Control and Automation: Science and Engineering, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-031-09823-9_1

Download citation

Publish with us

Policies and ethics