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

Course Leader	Christian Kauth
Target Group	Statistical 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.
Objective(s)	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)
Contents	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 Outcome	The 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 Reading	None
Suggested Reading	None
Required Preparation	Register for free to the Microsoft Power Platform https://make.powerapps.com/ (with work login) used during lab afternoons 1 & 2 Register for free to the Google Colaboratory https://colab.research.google.com/ (with personal login) used during lab afternoons 4 & 5 Install Lobe.ai free software on PC (done by ICON Institute) https://www.lobe.ai/ used during lab afternoon 1 Install KNIME free software on PC (done by ICON Institute) https://www.knime.com/ used during lab afternoon 3
Trainer(s)/ Lecturer(s)	Christian Kauth (Independent expert)

Practical Information
When	Duration	Where	Organiser	Application via National Contact Point
29 January – 02 February 2024	5 days	Cologne, Germany	ICON INSTITUTE Public Sector GmbH	Deadline: 04.12.2023