Artificial Intelligence and Machine Learning have been dominating the headlines in the last few years coming with a lot of promises also for transforming government work. Whether it is to gain efficiency in current processes, improve serviced delivery or transform decision making and service delivery, there are many ways to utilise artificial intelligence technologies in a government context. What do these new technologies mean? What are these technologies and where can they be applied in a government context? What benefits can public sector organisations derive from deploying such technologies and how can they go about and embed them to deliver tangible benefits? What are the key management challenges in implementing such technologies and how can they be addressed? This course aims to demystify these concepts by looking at government implementation experiences. We look beyond the hype and focus on the real challenges and opportunities of practical applications of AI for government organisations. We also consider challenges and opportunities arising from ethical, fair, transparent, and accountable deployment of artificial intelligence and will look at key factors for successful implementation such as data management and data sharing, public sector innovation, project management, change management, cross-sectoral collaboration and safe implementation.
This course is for 2nd year MIA, MPP and MDS students only.
Instructors
- Slava Jankin , Fellow
- Gerhard Hammerschmid , Professor of Public and Financial Management
