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Well-being impact assessment of artificial intelligence – A search for causality and proposal for an open platform for well-being impact assessment of AI systems

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  • Havrda, Marek
  • Klocek, Adam

Abstract

In recent years, the well-being impact assessment approach has been applied in the area of Artificial Intelligence (AI). Existing well-being frameworks and tools provide a relevant starting point. Taking into account its multidimensional nature, well-being assessment is well suited to assess both the expected positive effects of the technology as well as unintended negative consequences. To-date the establishment of causal links mostly stems from intuitive causal models. Such approaches neglect the fact that to prove causal links between the operation of an AI system and observed effects is difficult due to the immense complexity of the socio-technical context. This article aims at providing a framework for ascertaining the attribution of effects of observed impact of AI on well-being. An elaborated approach to impact assessment potentially enabling causal inferences is demonstrated. Furthermore, a new Open Platform for Well-Being Impact Assessment of AI systems (OPIA) is introduced, which is based on a distributed community to build reproducible evidence through effective identification, refinement, iterative testing, and cross-validation of expected causal structures.

Suggested Citation

  • Havrda, Marek & Klocek, Adam, 2023. "Well-being impact assessment of artificial intelligence – A search for causality and proposal for an open platform for well-being impact assessment of AI systems," Evaluation and Program Planning, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:epplan:v:99:y:2023:i:c:s014971892300071x
    DOI: 10.1016/j.evalprogplan.2023.102294
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    as
    1. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    2. Li, Feng & Du, Timon Chih-ting & Wei, Ying, 2019. "Offensive pricing strategies for online platforms," International Journal of Production Economics, Elsevier, vol. 216(C), pages 287-304.
    3. David Card, 1992. "Using Regional Variation in Wages to Measure the Effects of the Federal Minimum Wage," ILR Review, Cornell University, ILR School, vol. 46(1), pages 22-37, October.
    4. J. Allister McGregor & Nicky Pouw, 2017. "Towards an economics of well-being," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 41(4), pages 1123-1142.
    5. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    6. Gemma Simons & David S Baldwin, 2021. "A critical review of the definition of ‘wellbeing’ for doctors and their patients in a post Covid-19 era," International Journal of Social Psychiatry, , vol. 67(8), pages 984-991, December.
    7. David Card, 1992. "Using Regional Variation in Wages to Measure the Effects of the Federal Minimum Wage," Working Papers 680, Princeton University, Department of Economics, Industrial Relations Section..
    8. Neng-Chieh Chang, 2020. "Double/debiased machine learning for difference-in-differences models," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 177-191.
    9. Neuberg, Leland Gerson, 2003. "CAUSALITY: MODELS, REASONING, AND INFERENCE, by Judea Pearl, Cambridge University Press, 2000," Econometric Theory, Cambridge University Press, vol. 19(4), pages 675-685, August.
    10. repec:fth:prinin:300 is not listed on IDEAS
    11. Noor Akma Mohd Salleh & Norbani Che Ha & Philip J. Kitchen & Amrul Asraf Mohd-Any, 2019. "Online purchasing: the role of web experience factors," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 10(3), pages 260-282.
    12. Howard White, 2009. "Theory-based impact evaluation: principles and practice," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 1(3), pages 271-284.
    13. Steen, Frode, 2019. "Paywalls and the demand for online news," CEPR Discussion Papers 13651, C.E.P.R. Discussion Papers.
    14. Breslow, Sara Jo & Sojka, Brit & Barnea, Raz & Basurto, Xavier & Carothers, Courtney & Charnley, Susan & Coulthard, Sarah & Dolšak, Nives & Donatuto, Jamie & García-Quijano, Carlos & Hicks, Christina , 2016. "Conceptualizing and operationalizing human wellbeing for ecosystem assessment and management," Environmental Science & Policy, Elsevier, vol. 66(C), pages 250-259.
    15. Oecd, 2019. "Understanding online consumer ratings and reviews," OECD Digital Economy Papers 289, OECD Publishing.
    16. Quentin André & Ziv Carmon & Klaus Wertenbroch & Alia Crum & Douglas Frank & William Goldstein & Joel Huber & Leaf Boven & Bernd Weber & Haiyang Yang, 2018. "Consumer Choice and Autonomy in the Age of Artificial Intelligence and Big Data," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 28-37, March.
    17. Zhao Zhang & Zaixin Lu & Xianyue Li & Xiaohui Huang & Ding-Zhu Du, 2019. "Online hole healing for sensor coverage," Journal of Global Optimization, Springer, vol. 75(4), pages 1111-1131, December.
    18. Zhang, Huili & Tong, Weitian & Lin, Guohui & Xu, Yinfeng, 2019. "Online minimum latency problem with edge uncertainty," European Journal of Operational Research, Elsevier, vol. 273(2), pages 418-429.
    19. Cao, Zhenfeng & Zheng, Minzhang & Manrique, Pedro D. & He, Zhou & Johnson, Neil F., 2019. "Temporal evolution of online extremist support," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 169-180.
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    1. Potluka, Oto, 2023. "Why and how to use the quality of life as an evaluation criterion?," Evaluation and Program Planning, Elsevier, vol. 100(C).

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