Public perception of new technologies 2700-NTOOP-OG

elective courses
general courses

Remote learning

The course aims to discuss public opinion research concerning the development and use of new technologies such as artificial intelligence, social media, mobile technologies, and digital democracy. Students will learn about methods for measuring attitudes toward technology, trust in digital tools, and generational differences in their perception. As part of the course, participants will analyze selected national and international research reports (CBOS, LBM UW, Eurobarometer, Pew Research Center, Gallup, KPMG). Special emphasis will be placed on the practical application of survey methods. Students will complete 8 hours of practical training in the CATI studio as public opinion interviewers and 2 hours of preparatory training between 20-24 april 2026 (12:00–20:00). Topics covered: 1. Polacy o sztucznej inteligencji (2024), LBM UW: https://www.lbm.uw.edu.pl/images/Raport_AI_FINAL.pdf 2. Sztuczna inteligencja – uczucia, narzędzia i diagnoza medyczna (2024), CBOS: https://www.cbos.pl/SPISKOM.POL/2024/K_098_24.PDF 3. Sztuczna inteligencja w opiniach Polaków (2024), CBOS: https://www.cbos.pl/SPISKOM.POL/2024/K_093_24.PDF 4. Dzieci a smartfony, tablety i komputery (2025), CBOS: https://www.cbos.pl/SPISKOM.POL/2025/K_080_25.PDF 5. Korzystanie z internetu w 2025 roku (2025), CBOS: https://www.cbos.pl/SPISKOM.POL/2025/K_060_25.PDF 6. Młodzi i media społecznościowe (2025), CBOS: https://www.cbos.pl/SPISKOM.POL/2025/K_055_25.PDF 7. Głosowanie przez internet (2024), CBOS: https://www.cbos.pl/SPISKOM.POL/2024/K_061_24.PDF 8. European citizens’ knowledge and attitudes towards science and technology , Eurobarometer Report (2024), TYLKO ROZDZIAŁ 1 „ Knowledge about science and technology”, https://europa.eu/eurobarometer/surveys/detail/3227?fbclid=IwY2xjawLQjEpleHRuA2FlbQIxMABicmlkETBlOE9EOUlSWXVzR21CWkdiAR7P5aVBZCuneXwpvNEKwGeyLR8yPB4XR1WcB3bpnkODPJdIKHQEwdxwoXwTtA_aem_0-PLATee5c6WBP_Ob1CIoQ&etrans=pl (zakładka Report) 9. How the US Public and Experts View Artificial Intelligence, Pew Research Center (2025), TYLKO OVERVIEW ORAZ ROZDZIAŁ 1 i 2, https://www.pewresearch.org/wp-content/uploads/sites/20/2025/04/pi_2025.04.03_us-public-and-ai-experts_report.pdf 10. Trust, attitudes and use of artificial intelligence. A global study 2025, University of Melbourne & KPMG (2025), TYLKO SECTION 2 i 3, https://assets.kpmg.com/content/dam/kpmgsites/xx/pdf/2025/05/trust-attitudes-and-use-of-ai-global-report.pdf 11. Social Media Seen as Mostly Good for Democracy Across Many Nations, But U.S. is a Major Outlier, Pew Research Center (2022), TYLKO CZĘŚĆ 2 i 3, https://www.pewresearch.org/wp-content/uploads/sites/20/2022/12/PG_2022.12.06_Online-Civic-Engagement_REPORT.pdf 12. Tomorrow’s tech, today. What the public think about five emerging technologies, and opportunities for future engagement, Sciencewise & British Science Association (2022), https://sciencewise.org.uk/wp-content/uploads/2022/05/Social-Intelligence-on-Emerging-Technologies-Report_FullReport.pdf 13. AI: Major Threat or Just the Next Tech Thing?, Gallup (2025), https://news.gallup.com/poll/692435/major-threat-next-tech-thing.aspx 14. Power of Play 2025. Global Video Games Report, Audience Net (2025), https://www.theesa.com/wp-content/uploads/2025/09/PoP-2025-v10-web-spreads.pdf Reading list: E. Babbie, Badania społeczne w praktyce. PWN, Warszawa 2000. R.D. Wimmer, J.R. Dominick: Mass media: metody badań. WUJ, Kraków 2008. P.B. Sztabiński i in. (red.): Nowe metody, nowe podejścia badawcze w naukach społecznych. IFiS PAN, Warszawa 2004. M. Szreder, Metody i techniki sondażowych badań opinii, PWE, Warszawa 2010. Jak pisać i mówić o sondażach – poradnik dla dziennikarzy i dziennikarek, Instytut Zamenhofa, https://zamenhof.pl/wp-content/uploads/2023/09/jak_pisac_i_mowic_o_sondazach_poradnik.pdf. Learning outcomes Knowledge • Understands key theories and concepts in public opinion research on technology. • Recognizes social and cultural determinants of attitudes toward new technologies. • Is familiar with methods for studying trust and acceptance of digital and AI-based solutions. Skills • Can analyze and interpret public opinion research reports on technology. • Is able to draw conclusions about the relationship between technological development and social attitudes. • Can conduct a telephone interview using the CATI method. Social competences • Understands the social, political, and cultural impacts of new technologies. • Can critically assess sources of public opinion data. • Is prepared to participate in research projects employing public opinion surveys. Assessment methods and criteria • Participation in CATI research – mandatory involvement in a public opinion survey as an interviewer (a minimum of 8 hours in the LBM UW CATI studio) and participation in training sessions (2 hours), scheduled for May 11–15, 2026 (12:00–20:00). • Reading summary – students prepare a short written note (up to 5 sentences) answering the question: “What do you consider the most important aspect of the report?” Requirement: Participation in CATI research is a condition for passing the course.

Learning outcomes

Knowledge
• Understands key theories and concepts in public opinion research on technology.
• Recognizes social and cultural determinants of attitudes toward new technologies.
• Is familiar with methods for studying trust and acceptance of digital and AI-based solutions.

Skills
• Can analyze and interpret public opinion research reports on technology.
• Is able to draw conclusions about the relationship between technological development and social attitudes.
• Can conduct a telephone interview using the CATI method.

Social competences
• Understands the social, political, and cultural impacts of new technologies.
• Can critically assess sources of public opinion data.
• Is prepared to participate in research projects employing public opinion surveys.

Assessment methods and criteria

• Participation in CATI research – mandatory involvement as a public opinion interviewer (minimum 8 hours in the LBM UW CATI studio) and participation in preparatory training (2 hours).
• Reading summary – students prepare a short written note (up to 5 sentences) answering the question: “What do you consider the most important aspect of the report?”

Requirement:
Participation in CATI research is a condition for passing the course.

Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:

• Inter-faculty Studies in Bioinformatics and Systems Biology
• Bachelor's degree, first cycle programme, Computer Science
• Bachelor's degree, first cycle programme, Mathematics
• Master's degree, second cycle programme, Bioinformatics and Systems Biology
• Master's degree, second cycle programme, Computer Science
• Master's degree, second cycle programme, Mathematics

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

• Description of 2700-NTOOP-OG in USOSweb