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Reflections on AI for Humanity: Introduction

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Reflections on Artificial Intelligence for Humanity

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12600))

Abstract

This chapter briefly surveys the current situation of AI with respect to its human and social effects, and to its risks and challenges. It presents a few global initiatives regarding ethical, social and legal aspects of AI. It introduces the remaining chapters of the book and briefly discusses a global cooperation framework on AI and its governance.

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Notes

  1. 1.

    These are, for example, the challenges in image recognition [23], in question answering [35] and other natural language processing tasks [29], in automated planning [26], in theorem proving [34], and in logistics and other robotics competitions [33].

  2. 2.

    See [2], an early survey on April 2020 of 140 references.

  3. 3.

    e.g., [27, 31], the two winner systems of the Global Learning XPrize competition in May 2019.

  4. 4.

    These and other indicators are detailed in the recent AI Index Report [8].

  5. 5.

    E.g., according to the survey [28] 13% companies adopting AI are taking actions for mitigating risks.

  6. 6.

    See http://gpai.ai.

References

  1. Arntz, M., Gregory, T., Zierahn, U.: The Risk of Automation for Jobs in OECD Countries. OECD Social, Employment and Migration Working Papers (189) (2016). https://doi.org/10.1787/5jlz9h56dvq7-en. https://www.oecd-ilibrary.org/content/paper/5jlz9h56dvq7-en

  2. Bullock, J., Luccioni, A., Pham, K.H., Lam, C.S.N., Luengo-Oroz, M.: Mapping the landscape of artificial intelligence applications against covid-19. arXiv (2020). https://arxiv.org/abs/2003.11336

  3. Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., Srikumar, M.: Principled artificial intelligence: mapping consensus in ethical and rights-based approaches to principles for AI. Technical report 2020, Berkman Klein Center Research Publication (2020). https://doi.org/10.2139/ssrn.3518482

  4. Gal, M.S.: Illegal pricing algorithms. Commun. ACM 62(1), 18–20 (2019)

    Article  Google Scholar 

  5. Muscettola, N., Nayak, P.P., Pell, B., Williams, B.C.: Remote agent: to boldly go where no AI system has gone before. Artif. Intell. 103, 5–47 (1998)

    Article  Google Scholar 

  6. Nemitz, P.: Constitutional democracy and technology in the age of artificial intelligence. Philos. Trans. Roy. Soc. A: Math. Phys. Eng. Sci. 376(2133), 1–14 (2018)

    Google Scholar 

  7. O’Neil, C.: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Random House, New York (2016)

    MATH  Google Scholar 

  8. Perrault, R., et al.: The AI index 2019 annual report. Technical report, Stanford University (2019). http://aiindex.org

  9. Raso, F., Hilligoss, H., Krishnamurthy, V., Bavitz, C., Kim, L.Y.: Artificial Intelligence & Human Rights: Opportunities & Risks. SSRN, September 2018

    Google Scholar 

  10. Skeem, J.L., Lowenkamp, C.: Risk, Race, & Recidivism: Predictive Bias and Disparate Impact. SSRN (2016)

    Google Scholar 

  11. Sornette, D., von der Becke, S.: Crashes and High Frequency Trading. SSRN, August 2011

    Google Scholar 

  12. Zeng, Y., Lu, E., Huangfu, C.: Linking artificial intelligence principles. arXiv (2018). https://arxiv.org/abs/1812.04814v1

  13. Zuboff, S.: The Age of Surveillance Capitalism. PublicAffairs, New York (2019)

    Google Scholar 

  14. AI for good foundation. https://ai4good.org/about/

  15. AI now institute. https://ainowinstitute.org/

  16. Ai4People. http://www.eismd.eu/ai4people/

  17. Ethically Aligned Design. https://standards.ieee.org/content/dam/ieee-standards/standards/web/documents/other/ead_v2.pdf

  18. EU high level expert group on AI. https://ec.europa.eu/digital-single-market/en/high-level-expert-group-artificial-intelligence

  19. The Future of Life Institute. https://futureoflife.org/open-letter-autonomous-weapons/?cn-reloaded=1

  20. The Global Challenges Foundation. https://globalchallenges.org/about/the-global-challenges-foundation/

  21. Human-Centered AI. http://hai.stanford.edu/

  22. Humane AI. http://www.humane-ai.eu/

  23. Image Net. http://image-net.org/

  24. International Telecommunication Union. https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2017-1-PDF-E.pdf

  25. International Observatory on the Societal Impacts of AI. https://observatoire-ia.ulaval.ca/

  26. International Planning Competition. http://icaps-conference.org/index.php/Main/Competitions

  27. Kitkit School. http://kitkitschool.com/

  28. Mckinsey Global Institute. https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its-worth-but-few-scale-impact

  29. NLP Competitions. https://codalab-worksheets.readthedocs.io/en/latest/Competitions/#list-of-competitions

  30. OECD AI Policy Observatory. http://www.oecd.org/going-digital/ai/oecd-initiatives-on-ai.htm

  31. OneTab. https://onebillion.org/

  32. Partnership on AI. https://www.partnershiponai.org/research-lander/

  33. RoboCup. https://www.robocup.org/

  34. SAT Competitions. http://satcompetition.org/

  35. SQuAD Explorer. https://rajpurkar.github.io/SQuAD-explorer/

  36. UK center for the governance of AI. https://www.fhi.ox.ac.uk/governance-ai-program/

  37. Un Global Pulse. https://www.unglobalpulse.org/

  38. Un Sustainable Development Goals. https://sustainabledevelopment.un.org/?menu=1300

  39. UNESCO. https://en.unesco.org/artificial-intelligence

  40. Deliberations of the expert group on artificial intelligence at the OECD (2019). https://www.oecd-ilibrary.org/

  41. Preliminary study on the ethics of artificial intelligence (2019). https://unesdoc.unesco.org/

  42. EU white paper on AI (2020). https://ec.europa.eu/info/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust_en

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Author information

Authors and Affiliations

  1. Formerly Inria, Paris, France

    Bertrand Braunschweig

  2. CNRS, LAAS, Toulouse, France

    Malik Ghallab

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  1. Bertrand Braunschweig
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  2. Malik Ghallab
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Correspondence to Bertrand Braunschweig .

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Editors and Affiliations

  1. Inria, Le Chesnay, France

    Bertrand Braunschweig

  2. LAAS-CNRS, Toulouse, France

    Malik Ghallab

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Braunschweig, B., Ghallab, M. (2021). Reflections on AI for Humanity: Introduction. In: Braunschweig, B., Ghallab, M. (eds) Reflections on Artificial Intelligence for Humanity. Lecture Notes in Computer Science(), vol 12600. Springer, Cham. https://doi.org/10.1007/978-3-030-69128-8_1

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  • DOI: https://doi.org/10.1007/978-3-030-69128-8_1

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