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Artificial intelligence for data science: ethics and practical applications - 2024

Course LeaderChristian Kauth
Target GroupStatistical production units and methodologist of NSIs.
Entry Qualifications
  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions
  • No programming knowledge is necessary for lab sessions 1-3.

    Active or passive knowledge of Python, R or Julia is a plus for Lab sessions 4-5, but not a requirement to follow and benefit from these sessions: they can either be passively followed via the provided code snippets or optionally actively implemented by the participants.


This course is an eye-opener, democratizing the ethical development and use of AI to empower every human to achieve more

  • Understand the working principles of Artificial Intelligences (AI)
  • Get to know the processes and tools involved in creating an AI
  • Get to know impactful use cases of AI
  • Understand the risks and challenges related to AI
  • Unlock entirely new data sources for science by
  • Leveraging existing AIs (without coding)
  • Training new custom AIs (with some coding)
  • Demystification of AI and its relation to machine & deep learning
  • The cookbook recipe of creating an AI
  • Real-world applications of state-of-the-art AIs
  • Access to data, bias, ethics, regulatory frameworks
  • Development of no-code/low-code AI
Expected OutcomeThe participants will understand what AI is and how it is trained. They can balance its potential and risks. Participants will feel comfortable identifying custom use-cases for AI and creating their own prototypes on new sources of data.
Training Methods

Mornings are dedicated to executive briefings and deep dives, afternoons to guided hands-on lab sessions.

  • Presentations and lectures (40%)
  • Exchange of views/experiences (10%)
  • Guided Hands-on Lab sessions (50%)
Required ReadingNone
Suggested ReadingNone
Required Preparation

Christian Kauth (Independent expert)



Practical Information    
WhenDurationWhereOrganiserApplication  via National Contact Point
29 January – 02 February 20245 daysCologne, GermanyICON INSTITUTE Public Sector GmbHDeadline: 04.12.2023