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Leaving No One Behind: Educating Those Most Impacted by Artificial Intelligence

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Artificial Intelligence in Education (AIED 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11626))

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Abstract

This paper describes the methodology to gather background information towards creating an educational framework for retraining in Artificial Intelligence (AI). The framework will be designed for those often missed by other educational efforts, such as mainstream education, university and large international companies. The intended participants are those often predicted to be most displaced by AI. The first step will involve conducting semi-structured interviews with individuals and companies to create a baseline of requirements for such an educational framework.

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References

  1. Cities Outlook 2018. Centre for Cities (2018)

    Google Scholar 

  2. BBC: Apprenticeship levy is not working, employers say (2018)

    Google Scholar 

  3. Brinded, L.: Automation killed 17,000 roles at a huge tech and services firm - but no one actually lost their job. Business Insider, January 2017. https://www.businessinsider.com/accentures-richard-lumb-davos-interview-robots-jobs-skills-leadership-training-2017-1

  4. Centre for European Economic Research: Robots create jobs - new research (2018). https://ifr.org/ifr-press-releases/news/robots-create-jobs-new-research

  5. Cohen, L., Manion, L., Morrison, K.: Research Methods in Education. Education, Research methods. Routledge, New York (2011). https://books.google.co.uk/books?id=p7oifuW1A6gC

    Google Scholar 

  6. Delcker, J.: Finland’s grand AI experiment (2019). https://www.politico.eu/article/finland-one-percent-ai-artificial-intelligence-courses-learning-training/

  7. FCAI: Elements of Artificial Intelligence free online course (2018). https://www.elementsofai.com/

  8. Frey, C.B., Osborne, M.: The Future of Employment: How susceptible are jobs to computerisation? (2013)

    Google Scholar 

  9. Gov: Tech experts to provide National Centre for Computing Education (2018)

    Google Scholar 

  10. Gov: Next generation of artificial intelligence talent to be trained at UK universities (2019). https://www.gov.uk/government/news/next-generation-of-artificial-intelligence-talent-to-be-trained-at-uk-universities

  11. Heinivirta, K.: Työryhmä parantamaan jatkuvan oppimisen mahdollisuuksia (2019). https://minedu.fi/artikkeli/-/asset_publisher/tyoryhma-parantamaan-jatkuvan-oppimisen-mahdollisuuksia

  12. House of Lords Select Committee on Artificial Intelligence: AI in the UK: ready, willing and able? House of Lords, 181, March 2018. https://publications.parliament.uk/pa/ld201719/ldselect/ldai/100/100.pdf

  13. KPMG: How the UK can win the AI race: What we know, what the public think and where we go from here, 1–16 September 2018. https://assets.kpmg.com/content/dam/kpmg/uk/pdf/2018/09/how-the-uk-can-win-the-artificial-intelligence-ai-race.pdf

  14. Kvale, S.: Doing Interviews. Qualitative Research Kit, SAGE Publications (2008). https://books.google.co.uk/books?id=x7lXd08rD7IC

  15. Kvale, S.: Ten standard objections to qualitative research interviews. J. Phenomenol. Psychol. 25(2), 147–173 (1994). https://doi.org/10.1163/156916294X00016. https://www.sfu.ca/~palys/Kvale-TenStandardObjectionsToQualInterviews.pdf

  16. Lehtinen, T.: AI experiment, phase 1: Helping artificial intelligence (2017). https://www.espoo.fi/en-US/Jobs_and_enterprise/A_dynamic_city/Glimpses_into_the_future/AI_experiment_phase_1_Helping_artificial(133974)

  17. Lintilä, M.: AI Finland - Background (2017). https://www.tekoalyaika.fi/en/background/

  18. Manyika, J., et al.: DONE\(\_\)Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation. McKinsey Global Institute, pp. 1–160, December 2017. https://doi.org/10.1002/lary.20616, https://www.mckinsey.com/featured-insights/future-of-organizations-and-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages

  19. Noble, L.: Marks & Spencer creates Data Science Academy using Apprenticeship levy (2018). https://www.hrdconnect.com/2018/08/03/marks-spencer-creates-data-science-academy-using-apprenticeship-levy/

  20. OECD: Education at a Glance 2018. Education at a Glance, OECD, September 2018. https://doi.org/10.1787/eag-2018-en, https://www.oecd-ilibrary.org/education/education-at-a-glance-2018_eag-2018-en

  21. OECD: Finland - Overview of the education system (EAG 2018). Technical report, OECD (2018)

    Google Scholar 

  22. Oppenheim, A.N., Oppenheim, A.N.: Questionnaire Design, Interviewing, and Attitude Measurement. Pinter Publishers; Distributed exclusively in the USA and Canada by St. Martin’s Press, New York (1992)

    Google Scholar 

  23. Pember, S.: Shaping the new National Retraining Scheme, March (2018). https://feweek.co.uk/wp-content/uploads/2018/03/Shaping-the-new-National-Retraining-Scheme.pdf

  24. Plas, J.M., Kvale, S.: InterViews: An Introduction to Qualitative Research Interviewing. SAGE Publications, Thousand Oaks (1996)

    Google Scholar 

  25. PwC: The economic impact of artificial intelligence on the UK economy. Technical report, PwC. https://www.pwc.co.uk/services/economics-policy/insights/the-impact-of-artificial-intelligence-on-the-uk-economy.html

  26. Ristimäki, M.: The City of Espoo: a unique experiment with AI (2018). https://www.tieto.com/en/success-stories/2018/the-city-of-espoo-a-unique-experiment/

  27. Samani, T., Porayska-Pomsta, K., Luckin, R.: Bridging the gap between high and low performing pupils through performance learning online analysis and curricula. In: André, E., Baker, R., Hu, X., Rodrigo, M.M.T., du Boulay, B. (eds.) AIED 2017. LNCS (LNAI), vol. 10331, pp. 650–655. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61425-0_82

    Chapter  Google Scholar 

  28. Sparrow, A.: Labour adult learning vow ‘led to 100m fraud fiasco’, April 2003.https://www.telegraph.co.uk/news/uknews/1426543/Labour-adult-learning-vow-led-to-100m-fraud-fiasco.html

  29. Stancliffe, M.: What’s going wrong with the apprenticeship levy? (2013). https://www.personneltoday.com/hr/whats-going-wrong-with-apprenticeship-levy/

  30. The Royal Society: Machine learning: the power and promise of computers that learn by example, vol. 66 (2017). https://doi.org/10.1126/scitranslmed.3002564, https://royalsociety.org/~/media/policy/projects/machine-learning/publications/machine-learning-report.pdf

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Author information

Authors and Affiliations

  1. University of Bristol, Bristol, UK

    Laura Gemmell, Lucy Wenham & Sabine Hauert

  2. Bristol Robotics Laboratory, Bristol, UK

    Laura Gemmell & Sabine Hauert

Authors
  1. Laura Gemmell
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  2. Lucy Wenham
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  3. Sabine Hauert
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Corresponding author

Correspondence to Laura Gemmell .

Editor information

Editors and Affiliations

  1. University of Sao Paulo, Sao Paulo, Brazil

    Seiji Isotani

  2. University of Malaga, Málaga, Spain

    Eva Millán

  3. Carnegie Mellon University, Pittsburgh, PA, USA

    Amy Ogan

  4. DePaul University, Chicago, IL, USA

    Peter Hastings

  5. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce McLaren

  6. University College London, London, UK

    Rose Luckin

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Gemmell, L., Wenham, L., Hauert, S. (2019). Leaving No One Behind: Educating Those Most Impacted by Artificial Intelligence. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. AIED 2019. Lecture Notes in Computer Science(), vol 11626. Springer, Cham. https://doi.org/10.1007/978-3-030-23207-8_63

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  • DOI: https://doi.org/10.1007/978-3-030-23207-8_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23206-1

  • Online ISBN: 978-3-030-23207-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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