London School of Economics

This course examines through three case studies how we should develop legal responses to the challenge of AI. Today AI is used by the police, other law enforcement agencies, and even by private citizens to build smart surveillance networks through the use of live facial recognition cameras and so-called “hot spot” policing. This has the potential to impact our privacy and personal data and risks bias and error in design and deployment. The use of AI in law enforcement is the first case study. The second, the deployment of AI in medical practice and treatment, raises questions of autonomy, consent, confidentiality, and liability. The third case study looks at how public authorities deploy AI in ways which impact all, including digital transformation of public administrative systems, the use of AI in the legal profession and the courts, and the deployment of AI at borders and to manage immigration. 

This course introduces a range of issues surrounding the dynamics of disputes and the advanced models of negotiation and mediation designed to aid in their resolution. The focus of the course, which draws on insights from a range of disciplines including law, anthropology, psychology, and economics, is on looking at contemporary dispute resolution theories across a range of settings. An important feature of the course is the way in which it examines the interface between theory and practice. Academic staff is joined by leading practitioners in exposing students to the everyday dynamics of negotiation and mediation.

This course helps students develop rigorous quantitative skills to measure market risks in modern financial institutions. It builds on student’s introductory understanding of probability and statistics and focuses on risk management applications. This course illustrates methodologies using real financial data and a number of computer-based workshops.

This course offers a concise introduction to the legal challenges relating to the international dimension of litigating commercial disputes, both before state courts and in arbitration. London being one of the most important centers for commercial litigation and arbitration in the world, the course focuses on the relevant English and European Union law, invoking experiences from other jurisdictions where useful. 

The course blends theoretical knowledge and practical skills, preparing students to understand and leverage AI technologies in various business contexts. The course begins with an insightful introduction to AI and Machine Learning, providing a solid foundation in AI concepts and terminologies. Discovering the evolution of AI and understanding the core mechanisms that drive machine learning and deep learning technologies provides the foundational knowledge to set the stage for more advanced topics. To dive deep into the realm of AI technologies and their applications in business, the course explores a wide array of AI technologies, including Natural Language Processing, predictive and prescriptive analytics, and demonstrates their practical applications.

The course begins with exploring the concept of the "urban" in urban studies literature by examining what urbanization means to the governments, businesses, and people whose lives are affected by changes to the built environment of cities and to the ecosystems that support them. It moves on to consider urban contestations over policy, planning, and development among a wide range of stakeholders, from real estate developers to social movements to international NGOs. This interactive course draws on examples of urban policy and planning practices from both the global North and the South, with emphasis on Asia, Latin America, and the North Atlantic. It also includes a field visit to central London.

The majority of the course focuses on analysis of inequality and poverty using monetary measures of living standards. The final section of the course broadens the perspective to consider a range of non-monetary and multidimensional measures reflecting the "Beyond Income" agenda.

This course examines the global politics of trade, development, and the environment against the background of continued economic globalization and the emergence of new forms of global governance. 

This course presents an advanced treatment of econometric principles for cross-sectional, panel and time-series data sets. While concentrating on linear models, some non-linear cases are also discussed, notably limited dependent variable models and generalized methods of moments. The course focuses on modern econometric techniques, addressing both technical derivations and practical applications. Applications in the areas of microeconomics, macroeconomics, and finance are considered.

This course covers keystone technologies from bioweapons to killer robots to provide insight into pressing political questions such as: What role does technology play in warfare and in international security? How have the tools of war changed – and what do those changes mean for the laws, norms, ethics, conduct, and strategy of conflict? How can we combat the national and international security risks of emerging technologies?