1. AI4Gov - Trusted AI for
Transparent Public Governance fostering Democratic Values (Horizon Europe
project). Project web-page: AI4Gov | Trusted AI for Transparent Public
Governance (ai4gov-project.eu)
2. AI4GOV Training Ljubljana 2023: “AI and bias (bias in algorithms,
bias in data)”, lecturer
George Manias. Video lecture available at: http://videolectures.net/AI4GOVtraining2023_manias_ai_bias/.
3. AI4GOV Training Ljubljana 2023: “Fundamentals of AI”,
lecturer Erik Novak. Video
lecture available at: https://videolectures.net/AI4GOVtraining2023_novak_fundamentals_ai/.
4.
AI4GOV Training Ljubljana 2023: “Hands on session: case studies on
detecting bias. Followed by a panel discussion”. Video lecture available at: https://videolectures.net/AI4GOVtraining2023_hands_session_case/.
5. AI4GOV Training Ljubljana 2023: “How is AI regulated?”,
lecturer Federico
Marengo. Video lecture available at: https://videolectures.net/AI4GOVtraining2023_marengo_how_ai_regulated/.
6. AI4GOV Training Ljubljana 2023: “Impact of bias on Human Rights
(underrepresented groups)”, lecturer Mpampis Chatzimallis. Video
lecture available at: http://videolectures.net/AI4GOVtraining2023_chatzimallis_impact_bias_human/.
7. AI4GOV Training Ljubljana 2023: “What is bias?”,
lecturer Georgia
Panagiotidou. Video lecture available at: http://videolectures.net/AI4GOVtraining2023_panagiotidou_what_bias/.
8. AI4Gov. (2023). D2.1 -
AI4Gov Holistic Regulatory Framework V1. http://ai4gov-project.eu/wp-content/uploads/2023/07/AI4Gov_D2.1_AI4Gov-Holistic-Regulatory-Framework.pdf.
9. AI4Gov. (2023). D2.3 - Reference Architecture and
Integration of AI4Gov Platform V1. http://ai4gov-project.eu/wp-content/uploads/2023/11/D2.3_Reference_Architecture_and_Integration_of_AI4Gov_Platform_V1.pdf.
10. AI4Gov. (2023). D3.1 - Decentralized Data
Governance, Provenance and Reliability V1. http://ai4gov-project.eu/wp-content/uploads/2023/11/D3.1_Decentralized-Data-Governance-Provenance-and-Reliability-V1.pdf.
11. AI4Gov. (2023). D4.1 - Trustworthy,
Explainable, and unbiased AI V1. http://ai4gov-project.eu/wp-content/uploads/2024/01/AI4Gov_D4.1_Trusthworthy_Explainable_and_unbiased_AI_V1.5_final_submitted.pdf.
12. Banaji, M. R., & Greenwald,
A. G. (2013). Blindspot: Hidden biases of good people. Delacorte Press.
13. Caliskan, A., Bryson, J. J.,
& Narayanan, A. (2017). Semantics derived automatically from language
corpora contain human-like biases. Science, 356(6334), 183-186.
14. COMIC Volume 1: What is AI? (2021). From the comic
series We Are AI |
Comics. Available at: http://bit.ly/we-are-aicomicsvol1.
15. COMIC Volume 2: Learning From
Data. (2021).
From the comic series We
Are AI | Comics. Available at: http://bit.ly/we-are-ai_comics_vol2_en.
16. COMIC Volume 3: Who lives, Who
dies, Who decides? (2021). From the comic series We Are AI | Comics. Available at: http://bit.ly/we-are-ai_comics_vol3_en.
17. COMIC Volume 4: All about that
Bias. (2021). From the comic series We Are AI | Comics. Available at: http://bit.ly/we-are-ai_comics_vol4_en.
18. COMIC Volume 5: We are AI. (2021).
From the comic series
We Are AI | Comics. Available at: http://bit.ly/we-are-ai_comics_vol5_en.
19. Cook, C., & Spray, C. (2012).
Ecosystem services and integrated water resource management: different paths to
the same end? Journal of environmental management, 109, 93100.
20. Dovidio, J. F., Gaertner, S. L.,
& Kawakami, K. (2003). Intergroup contact: The past, present, and the
future. Group Processes & Intergroup Relations, 6(1), 5-21.
21. ENAR (2009-2021). Shadow reports
by the European network against racism. https://www.enar-eu.org/Shadow-Reports-on-racism-in-Europe-203/.
22. European
Commission. (2019). AI Ethics Guidelines for Trustworthy AI. Expert Group on
Artificial Intelligence (AI HLEG). Avialable at: https://www.europarl.europa.eu/cmsdata/196377/AI%20HLEG_Ethics%20Guidelines%20for%20Trustworthy%20AI.pdf.
23. Coursera.
(2024). Artificial Intelligence (AI) Terms: A to Z Glossary. https://www.coursera.org/articles/ai-terms?utm_medium=sem&utm_source=gg&utm_campaign=B2C_EMEA__coursera_FTCOF_career-academy_pmax-multiple-audiences-country-multi&campaignid=20858198824&adgroupid=&device=c&keyword=&matchtype=&network=x&devicemodel=&adposition=&creativeid=&hide_mobile_promo&gad_source=1&gclid=Cj0KCQiAwvKtBhDrARIsAJj-kTjfB0jURjx31J9R_6bBKpBX7N-fDfZm0G3TChagDP1UjRpnsPrL7N8aAnMaEALw_wcB.
24. Greenwald,
A. G., & Banaji, M. R. (2017). Implicit social cognition: Attitudes,
self-esteem, and stereotypes. Psychology Press.
25. Greenwald,
A. G., & Krieger, L. H. (2006). Implicit bias: Scientific Foundations.
California Law Review, 945-967.
26. Hamilton,
D., & Gifford, R. (1976). Illusory correlation in interpersonal perception:
a cognitive basis of stereotypic judgements. Journal of Experimental Social
Psychology, 12(4), PP. 392-407.
27. Holstein,
K., Wortman Vaughan, J., Daume III, H., Dudik, M., & Wallach, H. (2019).
Improving fairness in machine learning systems: What do industry practitioners
need? In proceedings of the 2019 CHI Conference on Human Factors in Computing
Systems (PP. 1-16).
28. Jost, J.
T., & Kay, A. C. (2010). Social justice: History, theory, and research.
Handbook of social psychology, 2, 1122-1165.
29. Kahneman,
D. (2011). Thinking, fast and slow. Macmillan.
30. Kim, M.
A. (2017). The impact of internet use on social isolation among older adults:
an empirical analysis using panel data. Cyberpsychology, behavior, and social
networking, 20(7), 411-416.
31. Manias, G. et al., "AI4Gov: Trusted AI
for Transparent Public Governance Fostering Democratic Values." (2023). 19th International Conference on
Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT),
Pafos, Cyprus, 2023, pp. 548-555, doi: 10.1109/DCOSS-IoT58021.2023.00090.
32. Markus, H., & Kitayama, S.
(2010). Cultures and selves: a cycle of mutual constitution. Perspectives on
psychological science, 5(4), PP. 420-430.
33. Nickerson, R. S. (1998).
Confirmation bias: a ubiquitous phenomenon in many guises. Review of general
psychology, 2(2), 175-220.
34. Nieto, S. (2000). Affirming
diversity: The sociopolitical context of multicultural education. Allyn &
Bacon.
35. OECD.AI (2021). What are the tools for
implementing trustworthy AI? A comparative framework and database. https://oecd.ai/en/wonk/tools-for-trustworthy-ai.
36. Pager, D., & Shepherd, H.
(2008). The sociology of discrimination: Racial discrimination in employment,
housing, credit, and consumer markets. Annual review of sociology, 34, 181209.
37. Pager, D., Western, B., &
Bonikowski, B. (2009). Discrimination in a low-wage labor market: a field
experiment. American sociological review, 74(5), PP. 777-799.
38. Paluck, E. L., & Green, D. P.
(2009). Prejudice reduction: What works? A review and assessment of research
and practice. Annual review of psychology, 60, 339-367.
39. Pettigrew, T. F., & Tropp, L.
R. (2006). A meta-analytic test of intergroup contact theory. Journal of
personality and social psychology, 90(5), 751-783.
40. Ragnedda, M., & Ruiu, M.
(2019). Digital exclusion: An introduction. Routledge.
41. Rudman, L. A., & Ashmore,
R.D. (2007). Discrimination and the implicit association test. Group processes
& intergroup relations, 10(3), 359-372.
42. Schug, J., Alt, N., & Klauer,
K. (2016). The psychological bases of discrimination and exclusion: A
meta-analytic review. Psychological bulletin, 142(4), PP. 380-421.
43. Selwyn, N. (2004). Reconsidering
political and popular understandings of the digital divide. New media &
society, 6(3), 341-362.
44. Smedley, B., Stith, A., &
Nelson, A. (2003). Unequal treatment: confronting racial and ethnic disparities
in health care. National Academies Press.
45. Steele, C. M. (2010). Whistling
Vivaldi: and other clues to how stereotypes affect us (issues of our time). WW
Norton & Company.
46. Sue, D., Rasheed, M., &
Rasheed, J. (2016). Multicultural social work practice: A competency-based
approach to diversity and social justice. John Wiley & Sons.
47. Tversky, A., & Kahneman, D.
(1973). Availability: A heuristic for judging frequency and probability.
Cognitive Psychology, 5(2), 207-232.
48. Tversky, A., & Kahneman, D.
(1974). Judgement under uncertainty:
Heuristics and biases. Science, 185(4157), 1124-1131.
49. UNDP (2021). Qualitative assessment of digital access and skills of underrepresented
groups. https://www.undp.org/sites/g/files/zskgke326/files/migration/mn/UNDP-A-Lab-Report-Eng-20211004.pdf.
50. United Nations. (2020). Disability
inclusion. https://www.un.org/development/desa/disabilities/.
51. Van Dijk, J. A. (ED.). (2013).
The digital divide (VOL. 14). Routledge.
52. Zamfir, A., & Corbos, R. A.
(2015). Towards sustainable tourism development in urban areas: case study on
Bucharest as tourist destination. Sustainability, 7(9), 12709-12722.