Skip to main navigation menu Skip to main content Skip to site footer

Vol. 63 No. 1 (2019): SPOŁECZNE W ARCHIWACH

Facts, problems, polemics

On the Value of Data and the Potential of Artificial Intelligence: Reports From the 8th Big Data and AI Congress, April 18–19, 2018

DOI: https://doi.org/10.35757/KiS.2019.63.1.18
Submitted: December 17, 2019
Published: March 29, 2019

Abstract

The author claims that due to the effectiveness and multiplicity of potential uses for databases (for instance, for “big data,” artificial intelligence) the business world is taking an almost incredible interest in their implementation. One proof is the momentum of the eighth edition of the Big Data & AI Congress. This text reports on that Warsaw conference. The author first presents the emotions that were obvious during the course of the event—the enthusiasm and expectations of business in regard to this kind of technology—and then points out and characterizes, with the eye of a sociologist, the areas of the subject left unaddressed. These are the manifold social consequences of the use and development of big data or so-called artificial intelligence, that is, the growth of income inequality at the same time as the outwardly positive growth in general incomes, the preservation of mechanisms of exclusion and discrimination, and the treatment of large groups of users as objects through applications based on data analysis.

References

  1. Angwin Julia, Larson Jeff , Mattu Surya, Kirchner Lauren, 2016, Machine Bias: There’s Software Used Across the Country to Predict Future Criminals and It’s Biased Against Blacks, „ProPublica”, 5 maja (https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing).
  2. Borowik Magdalena, Maśniak Leszek, Kroplewski Robert, Romaniec Hubert, 2018, Przemysł+. Gospodarka oparta o dane (https://www.gov.pl/cyfryzacja/gospodarka-oparta-o-dane-przemysl-).
  3. Brynjolfsson Erik, McAfee Andrew, 2015, Wyścig z maszynami. Jak rewolucja cyfrowa napędza innowacje, zwiększa wydajność i w nieodwracalny sposób zmienia rynek pracy, Kurhaus Publishing, Warszawa (http://www.publio.pl/files/samples/bc/61/79/129262/Wyscig_z_maszyna_mi_Jak_rewolucja_cyfrowa_napedza_innowacje_zwieksza_wydajnosc_i_w_nieodwracalny_sposob_zmienia_rynek_pracy_demo.pdf).
  4. Cadwalladr, Carole, Graham-Harrison Emma, 2018, Facebook and Cambridge Analytica Face Mounting Pressure over Data Scandal, „The Guardian”, 19 marca (https://www.theguardian.com/news/2018/mar/18/cambridge-analytica-and-facebook-accused-of-misleading-mps-over-data-breach).
  5. Cukier Kenneth, Mayer-Schönberger Victor, 2014, Big Data. Rewolucja, która zmieni nasze myślenie, pracę i życie, MT Biznes Ltd, Warszawa.
  6. Davies Harry, 2018, Facebook Told Me It Would Act Swiftly on Data Misuse — in 2015, „The Guardian”, 26 marca (https://www.theguardian.com/commentisfree/2018/mar/26/facebook-data-misuse-cambridge-analytica).
  7. Future Tech, 2018, „VIII Big Data & AI Congress” (http://bigdatacee.pl).
  8. Grace Katja i in., 2017, When Will AI Exceed Human Performance? Evidence from AI Experts, (http://arxiv.org/abs/1705.08807).
  9. Haas Benjamin, 2018, “Killer Robots”: AI Experts Call for Boycott over Lab at South Korea University,
  10. „The Guardian”, 5 kwietnia (https://www.theguardian.com/technology/2018/apr/05/killer-robots-south-korea-university-boycott-artifical-intelligence-hanwha).
  11. Kramer Andrew E., 2014, Ukraine’s Opposition Says Government Stirs Violence, „The New York Times”, 21 stycznia (https://www.nytimes.com/2014/01/22/world/europe/ukraine-protests.html).
  12. Larson Jeff , Mattu Surya, Kirchner Lauren, Angwin Julia, 2016, How We Analyzed the COMPAS Recidivism Algorithm, „ProPublica”, 23 maja (https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm).
  13. Ng Andrew Y., 2017, AI Is the New Electricity, AI Frontiers Conference: „Applied Deep Learning”, Santa Clara, 3–5 listopada (https://nov2017.aifrontiers.com/#speakers).
  14. O’Neil Cathy, 2017, Broń matematycznej zagłady. Jak algorytmy zwiększają nierówności i zagrażają demokracji, tłum. Marcin Z. Zieliński, Wydawnictwo Naukowe PWN, Warszawa.
  15. Obem Anna, 2018, Nowa afera, stare wyzwania, Fundacja Panoptykon, 23 marca (https://cyfrowa-wyprawka.org/aktualnosci/nowa-afera-stare-wyzwania).
  16. Surma Jerzy, 2017, Cyfryzacja życia w erze big data. Człowiek, biznes, państwo, Wydawnictwo Naukowe PWN, Warszawa.
  17. TogetherData, 2018, Making Your Data Smart, 27 kwietnia (https://togetherdata.com).
  18. UPIAN, 2015, Do Not Track, France, Canada (https://donottrack-doc.com).
  19. Wąsowski Michał, 2018, Mark Zuckerberg pokazał „prawdziwą twarz” na przesłuchaniach w Kongresie USA, Business Insider Polska, 12 kwietnia.

Downloads

Download data is not yet available.

Similar Articles

<< < 1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.