acnudh. & onu. (1975). Declaración sobre la utilización del progreso científico y tecnológico en interés de la paz y en beneficio de la humanidad. https://www.ohchr.org/SP/ProfessionalInterest/Pages/ScientificAndTechnologicalProgress.asx
Archer, L. B. (1965). Systematic method for designers. design.
Arnold, J. E. (1959). Creative Engineering: Promoting Innovation by Thinking Differently [Introducción y ensayo biográfico de W. J. Clancey]. University of Texas Press.
Balakrishnan, T., Chui, M., Hall, B., & Henke, N. (2020). The state of AI in 2020 [Global survey].
McKinsey & Company. https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/global-survey-the-state-of-ai-in-2020
Bason, C., & Austin, R. D. (2021). Design in the public sector: Toward a human centred model of public governance. Public Management Review,24(11), 1727-1757. https://doi.org/10.1080/14719037.2021.1919186
Bathaee, Y. (2020). Artificial Intelligence Opinion Liability. Berkeley Technology Law Journal, 113. https://doi.org/10.15779/Z38P55DH32
Bault, N., & Rusconi, E. (2020). The Art of Influencing Consumer Choices: A Reflection on Recent Advances in Decision Neuroscience. Frontiers in Psychology, 10, 3009. https://doi.org/10.3389/FPSYG.2019.03009
Baum, S. D. (2020). Social choice ethics in artificial intelligence. ai and Society, 35(1), 165-176. https://doi.org/10.1007/s00146-017-0760-1
Bhargava, V. R., & Velásquez, M. (2020). Ethics of the Attention Economy: The Problem of Social Media Addiction. Business Ethics Quarterly, 31(3), 321-359. https://doi.org/10.1017/BEQ.2020.32
Big Data Value Association. (2018). Data-driven artificial intelligence for European Economic
Competitiveness and societal progress. bdva Position Statement November 2018 [ai Position Paper]. https://bdva.eu/sites/default/files/AI-Position-Statement-BDVA-Final-12112018.pdf
Birhane, A., Isaac, W., Prabhakaran, V., Díaz, M., Elish, M. C., Gabriel, I., & Mohamed, S. (2022). Power to the People? Opportunities and Challenges for Participatory AI. ACM International Conference Proceeding Series, 1-17. https://doi.org/10.1145/3551624.3555290
bkc Scholars Helped Guide Colombia’s ai Policy Implementation as Part of the Country’s
‘ai Expert Mission’. Ethics and Governance of ai. (2022, 8 de agosto). Berkman Klein
Center. https://cyber.harvard.edu/story/2022-08/bkc-scholars-helped-guide-colombias-ai-policy-implementation-part-countrys-ai-expert
Bozdag, E. (2013). Bias in algorithmic filtering and personalization. Ethics and Information
Technology, 15(3), 209-227. https://link.springer.com/article/10.1007/s10676-013-9321-6
Bozdag, E., & van den Hoven, J. (2015). Breaking the filter bubble: democracy and
design. Ethics and Information Technology, 17(4), 249-265. https://doi.org/10.1007/S10676-015-9380-Y
Brandusescu, A., Cutean, A., Dawson, P., Davidson, R., Matthews, M., & O’Neill, K. (2021). Maximizing Strengths and Spearheading Opportunity: Towards an Industrial Strategy for Canadian Artificial Intelligence. Information and Communications Technology Council-ictc.
Brouwer, H., Woodhill, J., Hemmati, M., Verhoosel, K., & van Vugt, S. (2016). La guía de las MSP: Cómo diseñar y facilitar asociaciones de múltiples partes interesadas. Practical Action Publishing. https://doi.org/10.3362/9781780447520
Bryson, J. M., Patton, M. Q., & Bowman, R. A. (2011). Working with evaluation stakeholders:
A rationale, step-wise approach and toolkit. Evaluation and Program Planning, 34(1), 1-12. https://doi.org/10.1016/J.EVALPROGPLAN.2010.07.001
Cavoukian, A. (2012, winter). Privacy by design. IEEE Technology and Society Magazine, 31(4), 18-19. https://doi.org/10.1109/MTS.2012.2225459
cifar. (2020). AICan 2020. CIFAR Pan-Canadian ai Strategy Impact Report. https://cifar.ca/wp-content/uploads/2020/11/AICan-2020-CIFAR-Pan-Canadian-AI-Strategy-Impact-Report.pdf
Coeckelbergh, M. (2020). Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability. Science and Engineering Ethics, 26, 2051-2068. https://doi.org/10.1007/s11948-019-00146-8
Cottam, Hilary; Leadbeater, C. (2004). Red Paper 01 health: Co-creating services. https://www.designcouncil.org.uk/fileadmin/uploads/dc/Documents/red-paperhealth.pdf
Decker, M., & Ladikas, M. (2004). Technology Assessment in Europe; between Method and Impact — The TAMI Project. En M. Decker, M. Ladikas, S. Stephan, & F. Wütscher (Eds.), Bridges between Science, Society and Policy (pp. 1-10). Springer. https://doi.org/10.1007/978-3-662-06171-8_1
Departamento Nacional de Planeación. (2022). Propuesta de Caracterización del ecosistema de datos en Colombia [Documento para comentarios]. https://colaboracion.dnp.gov.co/CDT/Desarrollo Digital/Publicaciones/Ecosistema de Datos_Version_Comentarios.pdf
Directive on Automated Decision-Making. (2021). Government of Canada. https://www.tbs-sct.canada.ca/pol/doc-eng.aspx?id=32592
Ehn, P. (2008, 1-4 de octubre). Participation in Design Things. Tenth Conference on Participatory
Design, Bloomington, Indiana. https://doi.org/10.1145/1795234.1795248
Eubanks, V. (2018). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin’s Press. https://dl.acm.org/doi/book/10.5555/3208509
Fenwick, M., Kaal, W. A., & Vermeulen, E. P. M. (2017). Regulation Tomorrow: What Happens When Technology Is Faster than the Law? American University Business Law Review, 6(3), 561-594. https://digitalcommons.wcl.american.edu/cgi/viewcontent.cgi?article=1028&context=aublr
Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., & Srikumar, M. (2020). Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for ai. Berkman Klein Center Research Publication, (2020-1). https://doi.org/10.2139/SSRN.3518482
Flórez Rojas, M. L. (2022). El determinismo algorítmico en Colombia: riesgos para la protección del usuario. En M. L. Flórez ROjas (Coord.), Derecho de las tecnologías y las tecnologías para el derecho (pp. 161-209). Uniandes. https://doi.org/10.15425/2017.571
Friedman, B., & Nissenbaum, H. (1996). Bias in computer systems. acm Transactions on
Information Systems (tois), 14(3), 330-347. https://doi.org/10.1145/230538.230561
Gobierno de Canadá. (2021). Responsible use of artificial intelligence (ai). https://www.canada.ca/en/government/system/digital-government/digital-governmentinnovations/responsible-use-ai.html#toc1
Gobierno de Canadá. (2022, 22 de junio). Government of Canada launches second phase of the Pan-Canadian Artificial Intelligence Strategy. News ised. https://www.canada.ca/en/innovation-science-economic-development/news/2022/06/government-of-canada-launches-second-phase-of-the-pan-canadian-artificial-intelligence-strategy.html
Guío Español, A. (2021a). Consejo Internacional de Inteligencia Artificial para Colombia.
Gobierno de Colombia; caf. https://dapre.presidencia.gov.co/TD/CONSEJO-INTERNACIONAL-INTELIGENCIA-ARTIFICIAL-COLOMBIA.pdf
Guío Español, A. (2021b, 14 de septiembre). Por qué Colombia se ha posicionado
como líder regional en inteligencia artificial. caf. https://www.caf.com/es/conocimiento/visiones/2021/09/por-que-colombia-se-ha-posicionado-como-lider-regional-en-inteligencia-artificial/
Guío Español, A., Tamayo Uribe, E., Gómez Ayerbe, P., & Mujica, M. P. (2021). Marco
ético para la Inteligencia Artificial en Colombia. Gobierno de Colombia. https://inteligenciaartificial.gov.co/static/img/MARCO_ETICO.pdf.
Gunningham, N., & Sinclair, D. (2017). Smart regulation. En P. Drahos (Ed.), Regulatory
Theory: Foundations and applications (Cap. 8, pp. 133-148). ANU Press. https://www.jstor.org/stable/j.ctt1q1crtm.16?seq=1
Hernández, L., Canales, M. P., & De Souza, M. (2022). Inteligencia Artificial y participación
en América Latina: Las estrategias nacionales de ia. Derechos Digitales. https://www.derechosdigitales.org/publicaciones/inteligencia-artificial-y-participacion-en-america-latina-las-estrategias-nacionales-de-ia/
Holmlid, S. (2009, 24-26 de noviembre). Participative, co-operative, emancipatory: From participatory design to service design. First Nordic Conference on Service Design and Service Innovation, Oslo, Noruega. https://www.researchgate.net/publication/228629923_Participative_co-operative_emancipatory_From_participatory_design_to_service_design
Howard, W. (2009). Theory-based impact evaluation: principles and practice. Journal of Development Effectiveness, 1(3), 271-284. https://doi.org/10.1080/19439340903114628
Johansson-Sköldberg, U., Woodilla, J., & Çetinkaya, M. (2013). Design Thinking: Past, Present and Possible Futures. Creativity and Innovation Management, 22(2), 121-146. https://doi.org/10.1111/CAIM.12023
Kim, M., & Wolf, C. (2014). The impact assessment we want. Impact Assessment and Project Appraisal, 32(1), 19-20. https://doi.org/10.1080/14615517.2013.872847
Madiega, T. A. (2021). Artificial Intelligence Act. Think Tank European Parliament. https://www.europarl.europa.eu/thinktank/en/document/EPRS_BRI(2021)698792
Mayer, S., Schwemmle, M., Nicolai, C., & Weinberg, U. (2021). Assessing the Impact of Design Thinking in Organizations: Foundations of a Framework. En C. Meinel, & L. Leifer (Eds.), Design Thinking Research (pp. 255-272). Springer. https://doi.org/10.1007/978-3-030-76324-4_14
Mintrom, M., & Luetjens, J. (2016). Design Thinking in Policymaking Processes: Opportunities and Challenges. Australian Journal of Public Administration, 75(3), 391-402. https://doi.org/10.1111/1467-8500.12211
Mujica Ramírez, M. P., & Guio Español, A. (2021). Misión de Expertos en ia de Colombia:
Diagnóstico, miembros y objetivos. Gobierno de Colombia; bid. https://inteligenciaartificial.gov.co/static/img/201021_Mision_de_Expertos_en_IA_de_Colombia.pdf
Munn, L. (2022). The uselessness of AI ethics. ai and Ethics 2022, 1-9. https://doi.org/10.1007/S43681-022-00209-W
Nathan, G. (2018). Design-thinking approach to ethical (responsible) technological innovation. En R. Gianni, J. Pearson, & B. Reber (Eds.), Responsible Research and Innovation (pp. 286-300). Routledge. https://doi.org/10.4324/9781315457291-14
oecd. (2000). Reducing the risk of policy failure: challenges for regulatory compliance. https://www.oecd.org/regreform/regulatory-policy/1910833.pdf
oecd. (2012). Alternatives to traditional regulation [oecd Report]. http://www.oecd.org/gov/regulatory-policy/42245468.pdf
oecd. (2019). Artificial Intelligence in Society. https://doi.org/10.1787/eedfee77-en
oecd. (2020). oecd.ai Policy Observatory. A platform to share and shape ai policies [Folleto].
https://oecd.ai/en/assets/files/about-the-oecd-ai-policy-observatory.pdf
oecd. (2022). Recommendation of the Council on Artificial Intelligence. https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449
Payne, S. L., & Calton, J. M. (2017). Towards a Managerial Practice of Stakeholder Engagement: Developing multi-stakeholder learning dialogues. En J. Andriof, S. Waddock, B. Husted, & S. Sutherland Rahman (Eds.), Unfolding Stakeholder Thinking (pp. 121-135). Routledge.
Plattner, H., Meinel, C., & Weinberg, U. (2009). Design-Thinking; Innovation Lernen;
Ideenwelten Öffnen. mi-Wirtschaftsbuch; Finanzbuch Verl.
Pope, J., Bond, A., Morrison-Saunders, A., & Retief, F. (2013). Advancing the theory and practice of impact assessment: Setting the research agenda. Environmental Impact Assessment Review, 41, 1-9. https://doi.org/10.1016/J.EIAR.2013.01.008
Renda, A. (2019). Artificial Intelligence: Ethics, governance and policy challenges [CEPS Paperback Series]. CEPS Centre for European Policy Studies. https://www.ceps.eu/download/publication/?id=10869&pdf=AI_TFR.pdf
Renda, A., Schrefler, L., Luchetta, G., & Zavatta, R. (2013). Assessing the costs and benefits of Regulation. Centre for European Policy Studies-ceps.
Sadar, P., Carnet, P., & Heinz, S. (2022). An independent review of children’s social care: Appreciating the wider family context. Policy Lab. https://openpolicy.blog.gov.uk/2022/06/09/an-independent-review-of-childrens-social-care-appreciating-the-wider-family-context/
Sara, B. (2020). The future of impact assessment: problems, solutions and recommendations.
Impact Assessment and Project Appraisal, 38(2), 104-108. https://doi.org/10.1080/14615517.2019.1672443
Schallmo, D., Williams, C. A., & Lang, K. (2018, 17-20 de junio). An Integrated Design Thinking Approach: Literature Review, Basic Principles and Roadmap for Design Thinking. XXIX ISPIM Innovation Conference “Innovation, The Name of The Game, Stockholm, Sweden.
Schwoerer, K., Keppeler, F., Mussagulova, A., & Puello, S. (2022). co-design-ing a more context-based, pluralistic, and participatory future for public administration. Public Administration, 100(1), 72-97. https://doi.org/10.1111/PADM.12828
Therivel, R. (2020). Impact assessment: from whale to shark. Impact Assessment and Project Appraisal, 38(2), 118-121. https://doi.org/10.1080/14615517.2019.1676070
Thienen, J. P. A. von, Clancey, W. J., Corazza, G. E., & Meinel, C. (2018). Theoretical Foundations of Design Thinking. En H. Plattner, C. Meinel, & L. Leifer (Eds.), Design Thinking Research (pp. 13-40). Springer. https://doi.org/10.1007/978-3-319-60967-6_2
Trischler, J., Dietrich, T., & Rundle-Thiele, S. (2019). Co-design: from expert- to user-driven ideas in public service design. Public Managment Review, 21(11), 1595-1619. https://doi.org/10.1080/14719037.2019.1619810
Tuchman, B. W. (1985). The March of Folly: From Troy to Vietnam. Random House Trade
Paperbacks.
Umoja Noble, S. (2018). Algorithms of Oppression: How Search Engines Reinforce Racism.
NYU Press. https://nyupress.org/9781479837243/algorithms-of-oppression/
United Nations. (2006). Multi-Stakeholder Engagement Processes: A undp capacity development resource [Conference Paper #7. Working Draft, November 06]. https://www.undp.org/sites/g/files/zskgke326/files/publications/Engagement-Processes-cp7.pdf
United Nations. (2021). Resource Guide on Artificial Intelligence (ai) Strategies. https://sdgs.un.org/sites/default/files/202106/Resource%20Guide%20on%20AI%20Strategies_June%202021.pdf
Valentine, L., Kroll, T., Bruce, F., Lim, C., & Mountain, R. (2017). Design Thinking for Social Innovation in Health Care. The Design Journal, 20(6), 755-774. https://doi.org/10.1080/14606925.2017.1372926
Walden, I., & Christou, T. A. (2018). Legal and Regulatory Implications of Disruptive Technologies in Emerging Market Economies [A Report for the World Bank]. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3230674
Warner, J. (2016). The Beauty of the Beast: Multi-Stakeholder Participation for Integrated
Catchment Management. En J. Warner (Ed.), Multi-Stakeholder Platforms for Integrated Water Management (pp. 17-36). Routledge.
Wayne-Nixon, L., Wragg-Morris, Tanya, M., Anjali, M., & Kindornay, S. (2019). Effective
multi-stakeholder engagement to realize the 2030 Agenda in Canada. https://www.bccic.ca/wp-content/uploads/2019/06/Effective_Engagement_International.pdf
wipo. (2019). WIPO Technology Trends 2019 – Artificial Intelligence. https://www.wipo.
int/publications/en/details.jsp?id=4396
World Economic Forum. (2016). Values and the Fourth Industrial Revolution: Connecting
the Dots Between Value, Values, Profit and Purpose. https://www.weforum.org/whitepapers/values-and-the-fourth-industrial-revolution-connecting-thedots-between-value-values-profit-and-purpose/
Young, M. M., Bullock, J. B., & Lecy, J. D. (2019). Artificial Discretion as a Tool of Governance:
A Framework for Understanding the Impact of Artificial Intelligence on Public Administration. Perspectives on Public Management and Governance, 2(4), 301-313. https://doi.org/10.1093/PPMGOV/GVZ014
