The course will be compulsory for all first year undergraduate students.
The course will be compulsory for all first year undergraduate students.
7 hours and 30 minutes of seminars in the MT. 7 hours and 30 minutes of seminars in the LT. 90-minute seminars take place in alternate weeks. Students will attend an LSE100 seminar in either weeks 2, 4, 6, 8 and 10 or weeks 3, 5, 7, 9 and 11 of Michaelmas term, and weeks 1, 3, 5, 7 and 9 or weeks 2, 4, 6, 8 and 10 of Lent term. MT: Seminar ? 5 x 90min LT: Seminar ? 5 x 90min In addition to seminars students will engage with bespoke video lectures featuring academics from across the School (approx. 20 minutes per seminar).
In seminars throughout both terms, students will practice: analysing quantitative and qualitative data using systems thinking and systems change tools constructing and communicating evidence-based academic arguments? Teachers will provide feedback during seminars and in post-seminar communications to groups and individuals.? During the Lent Term, students will also have the opportunity to try out the tools they can use for presenting their digital reports.
The following readings are indicative of the texts students will be assigned for each stream. The total amount of reading assigned for each class will be 20-25 pages. Oran R. Young (2017). ?The age of complexity? in Governing Complex Systems: Social Capital for the Anthropocene (MIT Press) Betty Sue Flowers and Angela Wilkinson (2018). ?Five principles of realistic hope? in Realistic Hope: Facing Global Challenges (Amsterdam University Press) Ruha Benjamin (2019). ?Default Discrimination: Is the Glitch Systemic?? in Race after Technology: Abolitionist Tools for the New Jim Code (Polity). Frank Levy (2018). ?Computers and populism: artificial intelligence, politics and jobs in the near term? in Oxford Review of Economic Policy, Volume 34, Issue 3, Pages 393?417: https://doi-org.gate3.library.lse.ac.uk/10.1093/oxrep/gry004? Mark Coeckelbergh. ?AI for climate: freedom, justice, and other ethical and political challenges? in AI Ethics (2020): https://doi.org/10.1007/s43681-020-00007-2 Emily M. Bender, Timnit Gebru, Angelina McMillan-Major & Margaret Mitchell (forthcoming) ?On the dangers of stochastic parrots: can language models be too big?? available at: http://faculty.washington.edu/ebender/papers/Stochastic_Parrots.pdf Kate Crawford & Ryan Calo (2016) ?There is a blind spot in AI research? in Nature, 538: 311-3 Sarah Myers West, Meredith Whittaker & Kate Crawford (2019) Discriminating Systems: gender, race and power in AI (AI Now Institute) Robert Sparrow & Mark Howard (2017) ?When human beings are like drunk robots: driverless vehicles, ethics and the future of transport? in Transportation Research, Part C: 80: 206-15
Coursework (50%, 1500 words) in the MT. Project (50%) in the LT. Summative assessment will include an individual written assessment in the Michaelmas Term (50%) and a collaborative research project in the Lent Term (50%).