PyConDE & PyData Berlin 2024

(Un)leashed potential of AI in Government
04-23, 11:05–11:35 (Europe/Berlin), A1

As the world is being reshaped at an unprecedented speed through the rise of powerful (Generative) AI technologies that change the way we work and live, governments seek their place in the arena. This presentation will focus on how government institutions adapt to these changes by exploring three key areas of action: Adoption, Regulation, and Reskilling/Upskilling. Emphasis will be placed on Ethics and AI in government.


As the world is being reshaped at an unprecedented speed through the rise of powerful (Generative) AI technologies that change the way we work and live, governments seek their place in the arena. This presentation will focus on how government institutions adapt to these changes by exploring three key areas of action:
1. Adoption: Generally, technology adoption has been slower in government than in the private sector. Yet governments have increasingly started to explore the potential of AI to deliver on their mission. The audience will learn about potentials, barriers, and concrete use cases/prototypes of AI-based services in German government bodies with a focus on responsible AI and Ethics.
2. Regulation: It is discussed how government bodies respond to the rise of AI through regulation. An introduction to the EU AI Act is given – the world’s first comprehensive AI law.
3. Reskilling & Upskilling: Insights are given on the role specialised data skills play in shaping the future of Digital Government in Germany.


Abstract as a tweet (X) or toot (Mastodon)

As the world is being reshaped through the rise of advanced AI technologies, governments seek their place in the arena. This talk explores how German government institutions adapt to these changes by focusing on three key areas of action: Adoption, Regulation, and Up-/Reskilling.

Expected audience expertise: Domain

Intermediate

Expected audience expertise: Python

None

Rosa works as a Data Scientist at the German Federal Ministry for Family Affairs, Senior Citizens, Women and Youth, where she is currently supporting the setup of an in-house Data Lab. As an interdisciplinary thinker with experience in national and EU policymaking, she is interested in sustainable solutions at the intersection of policy, psychology, and data science.