Needs and Artificial Intelligence

Human, Soheil ORCID: https://orcid.org/0000-0003-1242-206X and Watkins, Ryan (2022) Needs and Artificial Intelligence. Sustainable Computing Paper Series, 2022/01. Vienna University of Economics and Business, Vienna.

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Abstract

Throughout their history, Homo sapiens have used technologies to better satisfy their needs. The relation between needs and technology is so fundamental that the US National Research Council defined the distinguishing characteristic of technology as its goal “to make modifications in the world to meet human needs”. Artificial intelligence (AI) is one of the most promising emerging technologies of our time. Similar to other technologies, AI is expected “to meet [human] needs”. In this article, we reflect on the relationship between needs and AI and call for the realization of needs-aware AI systems. We argue that re-thinking needs for, through, and by AI can be a very useful means towards the development of realistic approaches for Sustainable Human-centric, Accountable, Lawful, and Ethical (HALE) AI systems. We discuss some of the most critical gaps, barriers, enablers, and drivers of co-creating future AI-based sociotechnical systems in which [human] needs are well considered and met. Finally, we provide an overview of potential threats and HALE considerations that should be carefully taken into account and call for joint, immediate, and interdisciplinary efforts and collaborations.

Item Type: Paper
Keywords: Needs, Artificial Intelligence, Human-centricity, Ethics, Sustainability, Needs-aware AI
Divisions: Departments > Wirtschaftsinformatik u. Operations Mgmt > Data, Process and Knowledge Management > Wirtschaftsinformatik und Neue Medien
Depositing User: Soheil Human
Date Deposited: 25 Feb 2022 11:30
Last Modified: 25 Feb 2022 11:30
URI: https://epub.wu.ac.at/id/eprint/8549

References

[1] National Research Council (U.S.): National Science Education Stan- dards: Observe, Interact, Change, Learn. National Academies Press., Washington, USA (1996)

[2] Lee, K.-F., OReilly, T.: Meet the Expert: How AI Will Change Our World by 2041. OReilly Media, Inc. (2021). https://learning.oreilly.com/videos/meet-the-expert/0636920623939/0636920623939-video335577/

[3] Shneiderman, B.: Design lessons from AI’s two grand goals: Human emu- lation and useful applications. IEEE Transactions on Technology and Society 1(2), 73–82 (2020)

[4] Altschuld, J.W., Watkins, R.: A primer on needs assessment: More than 40 years of research and practice. New Directions for Evaluation 2014(144), 5–18 (2014)

[5] Human, S., Fahrenbach, F., Kragulj, F., Savenkov, V.: Ontology for Rep- resenting Human Needs. In: R ́oz ̇ewski, P., Lange, C. (eds.) Knowledge Engineering and Semantic Web. Communications in Computer and Infor- mation Science, pp. 195–210. Springer International Publishing, Cham (2017)

[6] Watkins, R., Human, S.: Needs-aware Artificial Intelligence: AI that ‘serves [human] needs’. arXiv (arXiv:2202.04977 [cs.AI]) (2022). https: //doi.org/10.48550/arXiv.2202.04977

[7] Nickols,F.:Fourchangemanagementstrategies.DistanceConsultingLLC 11(05), 2010 (2010)

[8] Sternberg, R.J.: The concept of intelligence, pp. 3–15. Cambridge Univer- sity Press (2000)

[9] Laurence, S., Margolis, E.: Concepts and cognitive science. Concepts: core readings 3 (1999)

[10] McLeod, S.K.: Knowledge of need. International Journal of Philosophical Studies 19(2), 211–230 (2011)

[11] Human, S.: THE HALE WHALE: A Framework for the Co-creation of Sustainable, Human-centric, Accountable, Lawful, and Ethical Digital Sociotechnical Systems. Sustainable Computing Paper Series (2022/01) (2022)

[12] Stru ̈mke, I., Slavkovik, M., Madai, V.I.: The social dilemma in artificial intelligence development and why we have to solve it. AI Ethics (2021)

[13] Watkins, R.: What are needs? [an online resource] (2016). https://sites. google.com/site/whatareneeds/file-cabinet

[14] Pearl, J.: Probabilities of causation: three counterfactual interpretations and their identification. Synthese 121(1), 93–149 (1999)

[15] Human, S., Neumann, G., Peschl, M.F.: [How] can pluralist approaches to computational cognitive modeling of human needs and values save our democracies? Intellectica 70, 165–180 (2019)

[16] Shneiderman,B.:Human-centeredartificialintelligence:Threefreshideas. AIS Transactions on Human-Computer Interaction 12(3), 109–124 (2020)

[17] Jasanoff, S.: States of Knowledge: the Co-production of Science and the Social Order. Routledge, Oxfordshire, UK (2004)

[18] Harbers, H.: Inside the Politics of Technology: Agency and Normativity in the Co-production of Technology and Society. Amsterdam University Press, Amsterdam, Netherlands (2005)

[19] Clark, A., Chalmers, D.: The extended mind. analysis 58(1), 7–19 (1998)

[20] Dror, I., Harnad, S.: Offloading cognition onto cognitive technology. In: Dror, I., Harnad, S.H. (eds.) Cognition Distributed: How Cognitive Technology Extends Our Minds. John Benjamins, Philadelphia (2008)

[21] Rowlands, I., Nicholas, D., Williams, P., Huntington, P., Fieldhouse, M., Gunter, B., Withey, R., Jamali, H.R., Dobrowolski, T., Tenopir, C.: The google generation: the information behaviour of the researcher of the future. In: Aslib Proceedings (2008). Emerald Group Publishing Limited

[22] Asher, A.D.: Search magic. discovering how undergraduates find informa- tion. In: American Anthropological Association, Annual Meeting (2011)

[23] Elayan, H., Aloqaily, M., Guizani, M.: Internet of behavior (iob) and explainable ai systems for influencing iot behavior. arXiv preprint arXiv:2109.07239 (2021)

[24] Eaglin, J.: When critical race theory enters the law & technology frame. Michigan Journal of Race & Law (forthcoming 2021) (2021)

[25] Ward, A.F.: People mistake the internet’s knowledge for their own. Proceedings of the National Academy of Sciences 118(43) (2021)

[26] Lyytinen, K., Yoo, Y.: Ubiquitous computing. Communications of the ACM 45(12), 63–96 (2002)

[27] Greenfield, A.: Everyware: The Dawning Age of Ubiquitous Computing. New Riders Publishing, San Francisco, CA (2010)

[28] Satyanarayanan, M.: Pervasive computing: Vision and challenges. IEEE Personal communications 8(4), 10–17 (2001)

[29] Aarts, E., Wichert, R.: Ambient intelligence. In: Technology Guide, pp. 244–249. Springer, New York, NY (2009)

[30] Cook, D.J., Augusto, J.C., Jakkula, V.R.: Ambient intelligence: Technolo- gies, applications, and opportunities. Pervasive and Mobile Computing 5(4), 277–298 (2009)

[31] Gams, M., Gu, I.Y.-H., H ̈arm ̈a, A., Mun ̃oz, A., Tam, V.: Artificial intelli- gence and ambient intelligence. Journal of Ambient Intelligence and Smart Environments 11(1), 71–86 (2019)

[32] Human, S., Peschl, M., Bidabadi, G., Savenkov, V.: An Enactive Theory of Need Satisfaction. PT-AI 2017: Philosophy and Theory of Artificial Intelligence 2017, pp. 40–42. Springer and Springer, Leeds, UK (2018)

[33] Peschl, M.F., Fundneider, T.: Designing and enabling spaces for collab- orative knowledge creation and innovation: From managing to enabling innovation as socio-epistemological technology. Computers in Human Behavior 37, 346–359 (2014)

[34] Næss, P.: Up-front assessment of needs. In: Making Essential Choices with Scant Information. Palgrave Macmillan, London (2009)

[35] Kaufman, R.: Alignment and success: Applying the hierarchy of planning and the needs-assesment hierarchy. Performance Improvement 58(7), 24– 28 (2019)

[36] Kaufman, R.: Strategic Planning Plus: An Organizational Guide. Sage publications, Thousand Oaks, CA (1992)

[37] Watkins,R.,Meiers,M.W.,Visser,Y.:AGuidetoAssessingNeeds:Essen- tial Tools for Collecting Information, Making Decisions, and Achieving Development Results. World Bank Publications, Washington, DC (2012)

[38] Human, S., Bidabadi, G., Peschl, M.: Learning to Satisfy Needs: Predic- tive Processing vs. Deep Learning. In: EUCognition, Zurich (2017)

[39] McCain, R.A.: Why need is “a word we cannot do without” in economics. In: Forum for Social Economics, vol. 43, pp. 181–196 (2014). Taylor & Francis

[40] Maslow, A.H.: A theory of human motivation. Psychological review 50(4), 370 (1943)

[41] Ryan, R.M., Deci, E.L.: Intrinsic and extrinsic motivation from a self- determination theory perspective: Definitions, theory, practices, and future directions. Contemporary educational psychology 61, 101860 (2020)

[42] Anders, H.: Indeterminacy and the principle of need. Theoretical Medicine and Bioethics 38(1) (2017)

[43] Human, S., Bidabadi, G., Savenkov, V.: Supporting Pluralism by Arti- ficial Intelligence: Conceptualizing Epistemic Disagreements As Digital Artifacts. PT-AI 2017: Philosophy and Theory of Artificial Intelligence 2017, pp. 190–193. Springer and Springer, Leeds (2018)

[44] Ahani, N., Trapp, A.C.: Human-Centric Decision Support Tools: Insights from Real-World Design and Implementation (2021)

[45] Law, J., Hassard, J.: Actor Network Theory and After. Blackwell pub- lishers, Oxford, UK (1999)

[46] Latour, B.: Reassembling the Social: An Introduction to Actor-Network- Theory. Oxford University Press, Oxford, UK (2007)

[47] Cetina, K.K.: Epistemic Cultures: How the Sciences Make Knowledge. Harvard University Press, Cambridge, MA (1999)

[48] Jasanoff, S., Kim, S.-H.: Sociotechnical imaginaries and national energy policies. Science as culture 22(2), 189–196 (2013)

[49] Jasanoff, S., Kim, S.-H.: Containing the atom: Sociotechnical imaginaries and nuclear power in the united states and south korea. Minerva 47(2), 119 (2009)

[50] Felt, U.: Five. keeping technologies out: Sociotechnical imaginaries and the formation of austria’s technopolitical identity. In: Dreamscapes of Modernity, pp. 103–125. University of Chicago Press, Chicago, USA (2015)

[51] Alt, R., Human, S., Neumann, G.: End-user empowerment in the digi- tal age. In: Proceedings of the 53rd Hawaii International Conference on System Sciences, Hawaii, United States, pp. 4099–4101 (2020)

[52] Human, S., Gsenger, R., Neumann, G.: End-user empowerment: An inter- disciplinary perspective. In: Proceedings of the 53rd Hawaii International Conference on System Sciences, Hawaii, United States, pp. 4102–4111 (2020)

[53] Latour, B.: Science in Action: How to Follow Scientists and Engineers Through Society. Harvard University Press, Cambridge, MA (1987)

[54] de La Bellacasa, M.P.: Matters of care in technoscience: Assembling neglected things. Social studies of science 41(1), 85–106 (2011)

[55] Human, S., Cech, F.: A Human-Centric Perspective on Digital Consent- ing: The Case of GAFAM. In: Zimmermann, A., Howlett, R.J., Jain, L.C. (eds.) Human Centred Intelligent Systems. Smart Innovation, Systems and Technologies, pp. 139–159. Springer, Singapore (2021)

[56] Qi, P., Huang, J., Wu, Y., He, X., Zhou, B.: Conversational AI Systems for Social Good: Opportunities and Challenges (2022)

[57] Ross, J.: Don’t confuse digital with digitization. MIT Sloan management review 58(2) (2017)

[58] Human, S., Neumann, G., Alt, R.: A call for interdisciplinary research on applied human-centricity in a sustainable digital economy. In: Proceedings of the 55th Hawaii International Conference on System Sciences, pp. 4695– 4696 (2022)

[59] Barley, S.R.: Work and Technological Change. Oxford University Press, Oxford, UK (2020)

[60] Ng, D.T.K., Leung, J.K.L., Chu, K.W.S., Qiao, M.S.: AI Literacy: Def- inition, Teaching, Evaluation and Ethical Issues. Proceedings of the Association for Information Science and Technology 58(1), 504–509 (2021)

[61] Human, S., Alt, R., Habibnia, H., Neumann, G.: Human-centric Personal Data Protection and Consenting Assistant Systems: Towards a Sustain- able Digital Economy. In: Proceedings of the 55th Hawaii International Conference on System Sciences, pp. 4727–4736. University of Hawaii, Hawaii, USA (2022)

[62] Papakyriakopoulos, O., Watkins, E.A., Winecoff, A., Ja ́zwin ́ska, K., Chattopadhyay, T.: Qualitative Analysis for Human Centered AI (2021)

[63] Ragin, C.C.: The Comparative Method. University of California Press, Berkeley, CA (2014)

[64] Ragin, C.C.: Fuzzy sets: Calibration versus measurement. Methodology volume of Oxford handbooks of political science 2 (2007)

[65] Dul, J., Van der Laan, E., Kuik, R.: A statistical significance test for neces- sary condition analysis. Organizational Research Methods 23(2), 385–395 (2020)

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