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Reasonable Machines: A Research Manifesto

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KI 2020: Advances in Artificial Intelligence (KI 2020)

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Abstract

Future intelligent autonomous systems (IAS) are inevitably deciding on moral and legal questions, e.g. in self-driving cars, health care or human-machine collaboration. As decision processes in most modern sub-symbolic IAS are hidden, the simple political plea for transparency, accountability and governance falls short. A sound ecosystem of trust requires ways for IAS to autonomously justify their actions, that is, to learn giving and taking reasons for their decisions. Building on social reasoning models in moral psychology and legal philosophy such an idea of »Reasonable Machines« requires novel, hybrid reasoning tools, ethico-legal ontologies and associated argumentation technology. Enabling machines to normative communication creates trust and opens new dimensions of AI application and human-machine interaction.

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Notes

  1. 1.

    While interpreting, modeling and explaining the inner functioning of black box AI systems is relevant also with respect to our Reasonable Machines vision, such research alone cannot completely solve the trust and control challenge. Sub-symbolic AI black box systems (e.g. neural architectures) are suffering from various issues (including adversarial attacks and influence of bias in data) which cannot be easily eliminated by interpreting, modeling and explaining them. Offline, forensic processes are then required such that the whole enterprise of turning black box AI systems into fully trustworthy AI systems becomes a challenging multi-step engineering process, and such an approach is significantly further complicated when online learning capabilities are additionally foreseen.

References

  1. Alexy, R.: Theorie der juristischen Argumentation. Suhrkamp, Frankfurt/M (1978)

    Google Scholar 

  2. Awad, E.: The moral machine experiment. Nature 563(7729), 59–64 (2018)

    Article  Google Scholar 

  3. Benzmüller, C., Fuenmayor, D., Lomfeld, B.: Encoding legal balancing: automating an abstract ethico-legal value ontology in preference logic. In: MLR 2020. Preprint: https://arxiv.org/abs/2006.12789 (2020)

  4. Benzmüller, C., Parent, X., van der Torre, L.: Designing normative theories for ethical and legal reasoning: LogiKEy framework, methodology, and tool support. Artif. Intell. 287, 103348 (2020). https://doi.org/10.1016/j.artint.2020.103348

  5. Bonnefon, J.-F., Shariff, A., Rahwan, I.: The social dilemma of autonomous vehicles. Science 352(6293), 1573–1576 (2016)

    Article  Google Scholar 

  6. European Commission, On Artificial Intelligence - A European approach to excellence and trust. European Commission White Paper, COM (2020) 65 final (2020)

    Google Scholar 

  7. Fuenmayor, D., Benzmüller, C.: A computational-hermeneutic approach for conceptual explicitation. In: Nepomuceno-Fernández, Á., Magnani, L., Salguero-Lamillar, F.J., Barés-Gómez, C., Fontaine, M. (eds.) MBR 2018. SAPERE, vol. 49, pp. 441–469. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32722-4_25

    Chapter  Google Scholar 

  8. Fuenmayor, D., Benzmüller, C.: Harnessing higher-order (meta-)logic to represent and reason with complex ethical theories. In: Nayak, A.C., Sharma, A. (eds.) PRICAI 2019. LNCS (LNAI), vol. 11670, pp. 418–432. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29908-8_34

    Chapter  Google Scholar 

  9. Greene, J., Rossi, F., Tasioulas, J., Venable, K.B., Williams, B.C.: Embedding ethical principles in collective decision support systems. In: Schuurmans, D., Wellman, M.P. (eds.) Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, pp. 4147–4151. AAAI Press (2016)

    Google Scholar 

  10. Guidotti, R.: A survey of methods for explaining black box models. ACM Comput. Surv. 51(5), 1–42 (2018)

    Article  Google Scholar 

  11. Habermas, J.: Theorie des kommunikativen Handelns. Suhrkamp, Frankf./M (1981)

    Google Scholar 

  12. Haidt, J.: The emotional dog and its rational tail: a social intuitionist approach to moral judgment. Psychol. Rev. 108(4), 814–34 (2001)

    Article  Google Scholar 

  13. Hoekstra, R., Breuker, J., Bello, M.D., Boer, A.: LKIF core: principled ontology development for the legal domain. In: Breuker, J., et al. (eds.) Law, Ontologies and the Semantic Web - Channelling the Legal Information Flood, Frontiers in Artificial Intelligence and Applications, pp. 21–52. IOS Press (2009)

    Google Scholar 

  14. Kahnemann, D.: Thinking, Fast and Slow. Farrar, Straus and Giroux, New York City (2013)

    Google Scholar 

  15. Lomfeld, B.: Die Gründe des Vertrages: Eine Diskurstheorie der Vertragsrechte. Mohr Siebeck, Tübingen (2015)

    Google Scholar 

  16. Lomfeld, B.: Emotio Iuris. Skizzen zu einer psychologisch aufgeklärten Methodenlehre des Rechts. In: Köhler, Müller-Mall, Schmidt, Schnädelbach, (eds.) Recht Fühlen, pp. 19–32. Fink, München (2017)

    Google Scholar 

  17. Lomfeld, B.: Grammatik der Rechtfertigung: Eine kritische Rekonstruktion der Rechts(fort)bildung. Kritische Justiz 52(4) (2019)

    Google Scholar 

  18. Luhmann, N.: Soziale Systeme: Grundlage einer allgemeinen Theorie. Suhrkamp, Frankfurt/M (1984)

    Google Scholar 

  19. Rahwan, I.: Machine behaviour. Nature 568(7753), 477–486 (2019)

    Article  Google Scholar 

  20. Rawls, J.: Justice as Fairness: A Restatement. Harvard University Press, Cambridge

    Google Scholar 

  21. Verheij, B.: Formalizing value-guided argumentation for ethical systems design. Artif. Intell. Law 24(4), 387–407 (2016). https://doi.org/10.1007/s10506-016-9189-y

    Article  Google Scholar 

  22. Wallach, W., Allen, C.: Moral Machines: Teaching Robots Right from Wrong. Oxford University Press, Oxford (2008)

    Google Scholar 

  23. Wisniewski, M., Steen, A., Benzmüller, C.: LeoPARD—A generic platform for the implementation of higher-order reasoners. In: Kerber, M., Carette, J., Kaliszyk, C., Rabe, F., Sorge, V. (eds.) CICM 2015. LNCS (LNAI), vol. 9150, pp. 325–330. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20615-8_22

    Chapter  Google Scholar 

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Acknowledgement

We thank David Fuenmayor and the anonymous reviewers for their helpful comments to this work.

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Authors and Affiliations

  1. Institute of Computer Science, Freie Universität Berlin, Berlin, Germany

    Christoph Benzmüller

  2. Department of Law, Freie Universität Berlin, Berlin, Germany

    Bertram Lomfeld

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  1. Christoph Benzmüller
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  2. Bertram Lomfeld
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Correspondence to Christoph Benzmüller .

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Editors and Affiliations

  1. Universität Bamberg, Bamberg, Germany

    Ute Schmid

  2. Örebro University, Örebro, Sweden

    Franziska Klügl

  3. Universität Bamberg, Bamberg, Germany

    Diedrich Wolter

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Benzmüller, C., Lomfeld, B. (2020). Reasonable Machines: A Research Manifesto. In: Schmid, U., Klügl, F., Wolter, D. (eds) KI 2020: Advances in Artificial Intelligence. KI 2020. Lecture Notes in Computer Science(), vol 12325. Springer, Cham. https://doi.org/10.1007/978-3-030-58285-2_20

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  • DOI: https://doi.org/10.1007/978-3-030-58285-2_20

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  • Online ISBN: 978-3-030-58285-2

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