26.1 C
New York
Friday, August 21, 2026

The science fiction science technique

- Advertisement -


  • Braghieri, L., Levy, R. & Makarin, A. Social media and psychological well being. Am. Econ. Rev. 112, 3660–3693 (2022).


    Google Scholar
     

  • Van Bavel, J. J., Robertson, C. E., Del Rosario, Okay., Rasmussen, J. & Rathje, S. Social media and morality. Annu. Rev. Psychol. 75, 311–340 (2024).

    PubMed 

    Google Scholar
     

  • Bail, C. Social-media reform is flying blind. Nature 603, 766 (2022).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Frewer, L. et al. Societal elements of genetically modified meals. Meals Chem. Toxicol. 42, 1181–1193 (2004).

    CAS 
    PubMed 

    Google Scholar
     

  • Siegrist, M. & Hartmann, C. Shopper acceptance of novel meals applied sciences. Nat. Meals 1, 343–350 (2020).

    PubMed 

    Google Scholar
     

  • Scott, S. E., Inbar, Y. & Rozin, P. Proof for absolute ethical opposition to genetically modified meals in the USA. Perspect. Psychol. Sci. 11, 315–324 (2016).

    PubMed 

    Google Scholar
     

  • Fernbach, P. M., Gentle, N., Scott, S. E., Inbar, Y. & Rozin, P. Excessive opponents of genetically modified meals know the least however assume they know essentially the most. Nat. Hum. Behav. 3, 251–256 (2019).

    PubMed 

    Google Scholar
     

  • Cobb, M. D. & Macoubrie, J. Public perceptions about nanotechnology: dangers, advantages and belief. J. Nanopart. Res. 6, 395–405 (2004).

    ADS 

    Google Scholar
     

  • Lee, C.-J., Scheufele, D. A. & Lewenstein, B. V. Public attitudes towards rising applied sciences: analyzing the interactive results of cognitions and have an effect on on public attitudes towards nanotechnology. Sci. Commun. 27, 240–267 (2005).


    Google Scholar
     

  • Danaher, J. & Sætra, H. S. Mechanisms of techno-moral change: a taxonomy and overview. Moral Principle Ethical Pract. 26, 763–784 (2023). This text presents a exact and generative taxonomy of how expertise reshapes ethical life, offering a conceptual basis for designing sci-fi-sci eventualities with mechanistic readability.


    Google Scholar
     

  • Goldin, C. & Katz, L. F. The ability of the capsule: oral contraceptives and girls’s profession and marriage choices. J. Pol. Econ. 110, 730–770 (2002).


    Google Scholar
     

  • Bailey, M. J. Extra energy to the capsule: the affect of contraceptive freedom on girls’s life cycle labor provide. Q. J. Econ. 121, 289–320 (2006).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Baker, R. Earlier than Bioethics (Oxford Univ. Press, 2013).

  • Shariff, A., Inexperienced, J. & Jettinghoff, W. The privateness mismatch: developed intuitions in a digital world. Curr. Dir. Psychol. Sci. 30, 159–166 (2021).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zuboff, S.The Age of Surveillance Capitalism: The Combat for a Human Future on the New Frontier of Energy (PublicAffairs, 2019).

  • Collingridge, D. The Social Management of Know-how (Pinter, 1980). This foundational work diagnoses the dilemma of management in technological growth, which sci-fi-sci makes an attempt to sort out by producing early empirical insights earlier than lock-in happens.

  • Fergnani, A. Mapping futures research scholarship from 1968 to current: a bibliometric overview of thematic clusters, analysis developments, and analysis gaps. Futures 105, 104–123 (2019).


    Google Scholar
     

  • Kuosa, T. Evolution of futures research. Futures 43, 327–336 (2011).


    Google Scholar
     

  • Danaher, J. & Sætra, H. S. Know-how and ethical change: the transformation of reality and belief. Ethics Inf. Technol. 24, 35 (2022).


    Google Scholar
     

  • Hopster, J. Okay. & Maas, M. M. The expertise triad: disruptive AI, regulatory gaps and worth change. AI Ethics 4, 1051–1069 (2024).


    Google Scholar
     

  • Brey, P. Ethics of Rising Know-how 175–191 (Rowman & Littlefield, 2017).

  • Pohl, F. The nice new innovations. Galaxy 27, 6 (1968).


    Google Scholar
     

  • Bonnefon, J.-F., Shariff, A. & Rahwan, I. The social dilemma of autonomous autos. Science 352, 1573–1576 (2016).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Shariff, A., Bonnefon, J.-F. & Rahwan, I. Psychological roadblocks to the adoption of self-driving autos. Nat. Hum. Behav. 1, 694–696 (2017).

    PubMed 

    Google Scholar
     

  • Awad, E. et al. The Ethical Machine experiment. Nature 563, 59–64 (2018). This examine is a traditional instance of sci-fi-sci, experimentally probing public ethical preferences for a speculative expertise (totally autonomous autos) by way of a large world dataset of 40 million choices.

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Bonnefon, J.-F. et al. Ethics of related and automatic autos: suggestions on highway security, privateness, equity, explainability and accountability (European Fee, 2020).

  • Luetge, C. The German ethics code for automated and related driving. Philos. Technol. 30, 547–558 (2017).


    Google Scholar
     

  • Santoni de Sio, F. The European Fee report on ethics of related and automatic autos and the way forward for ethics of transportation. Ethics Inf. Technol. 23, 713–726 (2021).


    Google Scholar
     

  • Adnan, N. Exploring the long run: a meta-analysis of autonomous automobile adoption and its affect on city life and the healthcare sector. Transp. Res. Interdiscip. Persp. 26, 101110 (2024).


    Google Scholar
     

  • Tussyadiah, I. A overview of analysis into automation in tourism: launching the annals of tourism analysis curated assortment on synthetic intelligence and robotics in tourism. Ann. Tour. Res. 81, 102883 (2020).


    Google Scholar
     

  • Zeng, Y., Liu, X., Zhang, X. & Li, Z. Retrospective of interdisciplinary analysis on robotic companies (1954–2023): from parasitism to symbiosis. Technol. Soc. 78, 102636 (2024).


    Google Scholar
     

  • Benkler, Y. Don’t let trade write the foundations for AI. Nature 569, 161–162 (2019).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Cave, S. & Dihal, Okay. Hopes and fears for clever machines in fiction and actuality. Nat. Mach. Intell. 1, 74–78 (2019).


    Google Scholar
     

  • Lazer, D. et al. Computational social science: obstacles and alternatives. Science 369, 1060–1062 (2020).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Lazer, D. et al. Significant measures of human society within the twenty-first century. Nature 595, 189–196 (2021).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Munger, Okay. The restricted worth of non-replicable discipline experiments in contexts with low temporal validity. Soc. Media Soc. 5, 2056305119859294 (2019).


    Google Scholar
     

  • Munger, Okay. Temporal validity as meta-science. Res. Politics 10, 20531680231187271 (2023). This text unpacks the idea of temporal validity, a vital concern for sci-fi-sci, because it exposes the boundaries of making use of present-day empirical data to future contexts.


    Google Scholar
     

  • Wilson, T. D. & Gilbert, D. T. Affective forecasting. Adv. Exp. Soc. Psychol. 35, 345–411 (2003).


    Google Scholar
     

  • Schönmann, M., Bodenschatz, A., Uhl, M. & Walkowitz, G. Contagious people: a pandemic’s constructive impact on attitudes in the direction of care robots. Technol. Soc. 76, 102464 (2024).


    Google Scholar
     

  • Inhorn, M. C. & Birenbaum-Carmeli, D. Assisted reproductive applied sciences and tradition change. Annu. Rev. Anthropol. 37, 177–196 (2008).


    Google Scholar
     

  • Dinh, C. T., Humphries, S. & Chatterjee, A. Public opinion on cognitive enhancement varies throughout totally different conditions. Am. J. Bioethics 11, 224–237 (2020).


    Google Scholar
     

  • Mihailov, E., López, B. R., Cova, F. & Hannikainen, I. R. How capsules undermine expertise: moralization of cognitive enhancement and causal choice. Acutely aware. Cogn. 91, 103120 (2021).

    PubMed 

    Google Scholar
     

  • Sattler, S. et al. Neuroenhancements within the army: a mixed-method pilot examine on attitudes of employees officers to ethics and guidelines. Neuroethics 15, 11 (2022).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lucas, S., Douglas, T. & Faber, N. S. How ethical bioenhancement impacts perceived praiseworthiness. Bioethics 38, 129–137 (2024).

    PubMed 

    Google Scholar
     

  • Laakasuo, M. et al. What makes individuals approve or condemn thoughts add expertise? untangling the consequences of sexual disgust, purity and science fiction familiarity. Palgrave Commun. 4, 84 (2018).


    Google Scholar
     

  • Salganik, M. J., Dodds, P. S. & Watts, D. J. Experimental examine of inequality and unpredictability in a synthetic cultural market. Science 311, 854–856 (2006).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Longoni, C. & Cian, L. Synthetic intelligence in utilitarian vs. hedonic contexts: the ’word-of-machine’ impact. J. Mark. 86, 91–108 (2022).


    Google Scholar
     

  • Köbis, N. et al. Synthetic intelligence can facilitate egocentric choices by altering the looks of interplay companions. Preprint at https://doi.org/10.48550/arXiv.2306.04484 (2023).

  • Benvegnù, G., Pluchino, P. & Garnberini, L. Digital morality: utilizing digital actuality to review ethical habits in excessive accident conditions. In 2021 IEEE Digital Actuality and 3D Consumer Interfaces 316–325 (IEEE, 2021).

  • Sütfeld, L. R., Ehinger, B. V., König, P. & Pipa, G. How does the strategy change what we measure? evaluating digital actuality and text-based surveys for the evaluation of ethical choices in site visitors dilemmas. PLoS ONE 14, e0223108 (2019).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Faulhaber, A. Okay. et al. Human choices in ethical dilemmas are largely described by utilitarianism: Digital automotive driving examine offers tips for autonomous driving autos. Sci. Eng. Ethics 25, 399–418 (2019).

    PubMed 

    Google Scholar
     

  • Riek, L. D. Wizard of Oz research in HRI: a scientific overview and new reporting tips. J. Hum. Robotic Work together. 1, 119–136 (2012).


    Google Scholar
     

  • Aroyo, A. M. et al. Will individuals morally crack beneath the authority of a well-known depraved robotic? In 2018 twenty seventh IEEE Worldwide Symposium on Robotic and Human Interactive Communication 35–42 (IEEE, 2018).

  • Bishop, S. L., Kobrick, R., Battler, M. & Binsted, Okay. Fmars 2007: stress and coping in an Arctic Mars simulation. Acta Astronautica 66, 1353–1367 (2010).

    ADS 

    Google Scholar
     

  • Alfano, C. A., Bower, J. L., Cowie, J., Lau, S. & Simpson, R. J. Lengthy-duration house exploration and emotional well being: suggestions for conceptualizing and evaluating threat. Acta Astronautica 142, 289–299 (2018). This text evaluations strategies for forecasting emotional well being dangers throughout a Mars mission, an excessive case of sci-fi-sci aimed toward predicting human responses in radically novel, high-stakes environments.

    ADS 

    Google Scholar
     

  • Riva, P., Rusconi, P., Pancani, L. & Chterev, Okay. Social isolation in house: an investigation of LUNARK, the primary human mission in an Arctic Moon analog habitat. Acta Astronautica 195, 215–225 (2022).

    ADS 

    Google Scholar
     

  • Sweet, S. & Potter, C. Design and Futures, vol. 1. J. Futures Stud. (2019).

  • Sweet, S. & Potter, C. Design and Futures, vol. 2. J. Futures Stud. (2019). The 2 volumes of this particular difficulty are a treasure trove of progressive strategies for designing immersive future simulations, providing sci-fi-sci researchers a wealthy toolbox for experimental protocols grounded in a tangible expertise.

  • Palmer, A. Too Just like the Lightning (Tor Books, 2016).

  • Gall, T., Vallet, F. & Yannou, B. Methods to visualise futures research ideas: revision of the futures cone. Futures 143, 103024 (2022).


    Google Scholar
     

  • Coolidge, F. L., Wynn, T., Overmann, Okay. A. & Hicks, J. M. in Human Paleoneurology (ed. Bruner, E.) 177–208 (Springer, 2015).

  • North, D. C. Construction and efficiency: the duty of financial historical past. J. Econ. Lit. 16, 963–978 (1978).


    Google Scholar
     

  • von Schenk, A., Klockmann, V., Bonnefon, J.-F., Rahwan, I. & Köbis, N. Lie detection algorithms disrupt the social dynamics of accusation habits. iScience 27, 110201 (2024).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Héder, M. From NASA to EU: the evolution of the TRL scale in public sector innovation. Innov. J. 22, 1–23 (2017). This text unpacks the evolution and potential misuses of the expertise readiness stage scale, which can assist sci-fi-sci researchers to decide on speculative applied sciences which might be nonetheless unsure, however not untethered from actuality.


    Google Scholar
     

  • Coccia, M. Measuring depth of technological change: the seismic method. Technol. Forecast. Soc. Change 72, 117–144 (2005).


    Google Scholar
     

  • Goodall, N. J. Moral choice making throughout automated automobile crashes. Transp. Res. Rec. 2424, 58–65 (2014).


    Google Scholar
     

  • Hess, D. J. Incumbent-led transitions and civil society: autonomous automobile coverage and client organizations in america. Technol. Forecast. Soc. Change 151, 119825 (2020).


    Google Scholar
     

  • Kriebitz, A., Max, R. & Lütge, C. The German act on autonomous driving: why ethics nonetheless issues. Philos. Technol. 35, 29 (2022).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mac Síthigh, D. & Siems, M. The Chinese language social credit score system: a mannequin for different international locations? Mod. L. Rev. 82, 1034–1071 (2019).


    Google Scholar
     

  • Orgad, L. & Reijers, W. A Dystopian Future? The Rise of Social Credit score Methods. Technical Report RSCAS 2019/94 (Robert Schuman Centre for Superior Research, 2019).

  • Tirole, J. Digital dystopia. Am. Econ. Rev. 111, 2007–2048 (2021).


    Google Scholar
     

  • Purcell, Z. A. & Bonnefon, J.-F. People really feel too particular for machines to attain their morals. PNAS Nexus 2, pgad179 (2023).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Guidelines on Synthetic Intelligence (Synthetic Intelligence Act) and Amending Sure Union Legislative Acts https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021PC0206 (European Fee, 2021).

  • Turley, P. et al. Issues with utilizing polygenic scores to pick out embryos. N. Engl. J. Med. 385, 78–86 (2021).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Anomaly, J. Creating Future Individuals: The Ethics of Genetic Enhancement (Taylor & Francis, 2020).

  • Anomaly, J., Gyngell, C. & Savulescu, J. Nice minds assume totally different: preserving cognitive variety in an age of gene enhancing. Bioethics 34, 81–89 (2020).

    PubMed 

    Google Scholar
     

  • Gyngell, C. & Douglas, T. Stocking the genetic grocery store: reproductive genetic applied sciences and collective motion issues. Bioethics 29, 241–250 (2015).

    PubMed 

    Google Scholar
     

  • Cavaliere, G. Ectogenesis and gender-based oppression: resisting the best of assimilation. Bioethics 34, 727–734 (2020).

    PubMed 

    Google Scholar
     

  • Hooton, V. & Romanis, E. C. Synthetic womb expertise, being pregnant, and EU employment rights. J. L. Biosci. 9, lsac009 (2022).


    Google Scholar
     

  • Horn, C. Ectogenesis, inequality, and coercion: a reproductive justice-informed evaluation of the affect of synthetic wombs. BioSocieties 18, 523–544 (2023).


    Google Scholar
     

  • MacKay, Okay. The ‘tyranny of replica’: may ectogenesis additional girls’s liberation? Bioethics 34, 346–353 (2020).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lin, P. in Autonomous Driving: Technical, Authorized and Social Points (eds Maurer, M.) 69–85 (Springer Vieweg, 2016).

  • Milakis, D. Lengthy-term implications of automated autos: an introduction. Transp. Rev. 39, 1–8 (2019).


    Google Scholar
     

  • Soteropoulos, A., Berger, M. & Ciari, F. Impacts of automated autos on journey behaviour and land use: a world overview of modelling research. Transp. Rev. 39, 29–49 (2019).


    Google Scholar
     

  • Fernández Llorca, D. & Gómez, E. Reliable Autonomous Autos—Evaluation Standards for Reliable AI within the Autonomous Driving Area (European Union, 2021).

  • Asimov, I. I, Robotic (Gnome Press, 1950).

  • McDermott, D. in Machine Ethics (eds Anderson, M. & Anderson, S. L.) 88–114 (Cambridge Univ. Press, 2011).

  • Hirai, Okay., Hirose, M., Haikawa, Y. & Takenaka, T. The Growth of Honda Humanoid Robotic. In Proc. 1998 IEEE Worldwide Convention on Robotics and Automation Vol. 2, 1321–1326 (IEEE, 1998).

  • Ishiguro, H. et al. Robovie: an interactive humanoid robotic. Ind. Robotic 28, 498–504 (2001).


    Google Scholar
     

  • Breazeal, C. Designing Sociable Robots (MIT Press, 2004).

  • Jennings, N. R., Norman, T. J., Faratin, P., O’Brien, P. & Odgers, B. Autonomous brokers for enterprise course of administration. Appl. Artif. Intel. 14, 145–189 (2000).


    Google Scholar
     

  • Reijers, H. A. Enterprise course of administration: the evolution of a self-discipline. Comput. Ind. 126, 103404 (2021).


    Google Scholar
     

  • Humanoid Robotic Market Measurement, Share & Trade Evaluation, by Movement Sort (Biped and Wheel Drive), by Element ({Hardware} and Software program), by Utility (Industrial, Family, and Providers), and Regional Forecast 2024–2032. Technical Report (Fortune Enterprise Insights, 2024).

  • Dafoe, A. et al. Cooperative AI: machines should be taught to seek out widespread floor. Nature 593, 33–36 (2021).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Acemoglu, D. & Restrepo, P. Automation and new duties: how expertise displaces and reinstates labor. J. Financial Perspect. 33, 3–30 (2019).


    Google Scholar
     

  • Crandall, J. W. et al. Cooperating with machines. Nat. Commun. 9, 233 (2018).

    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ishowo-Oloko, F. et al. Behavioural proof for a transparency–effectivity tradeoff in human–machine cooperation. Nat. Mach. Intell. 1, 517–521 (2019).


    Google Scholar
     

  • Karpus, J., Krüger, A., Verba, J. T., Bahrami, B. & Deroy, O. Algorithm exploitation: people are eager to use benevolent AI. iScience 24, 102679 (2021).

    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Oudah, M., Makovi, Okay., Grey, Okay., Battu, B. & Rahwan, T. Notion of expertise influences altruism and notion of company influences belief in human–machine interactions. Sci. Rep. 14, 12410 (2024).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Makovi, Okay., Sargsyan, A., Li, W., Bonnefon, J.-F. & Rahwan, T. Belief inside human–machine collectives is determined by the perceived consensus about cooperative norms. Nat. Commun. 14, 3108 (2023).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Dong, M., Bonnefon, J.-F. & Rahwan, I. Towards human-centered AI administration: methodological challenges and future instructions. Technovation 131, 102953 (2024).


    Google Scholar
     

  • Bubeck, S. et al. Sparks of synthetic common intelligence: early experiments with GPT-4. Preprint at https://doi.org/10.48550/arXiv.2303.12712 (2023).

  • Wu, Q. et al. Autogen: enabling next-gen LLM purposes through multi-agent dialog framework. In First Convention on Language Modeling https://openreview.web/discussion board?id=BAakY1hNKS (OpenReview, 2024).

  • Bamberger, S., Clark, N., Ramachandran, S. & Sokolova, V. How generative AI is already remodeling customer support. Boston Consulting Group www.bcg.com/publications/2023/how-generative-ai-transforms-customer-service (2023).

  • Related Articles

    LEAVE A REPLY

    Please enter your comment!
    Please enter your name here

    Stay Connected

    0FansLike
    0FollowersFollow
    0SubscribersSubscribe

    Latest Articles