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HBO/WO

MBO

September 1, 2025

Introduction to AI at HAN

This module is intended for all staff and students at HAN. It is also available to interested parties outside HAN. There is also a Dutch version available called: Kennismaken met AI in de HAN.

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Expertiseteam Digi- en Datavaardigheid

January 22, 2025

APA-quizzes

Knowledge tests in the form of quiz questions on the application of APA guidelines.

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Bibliotheek Hogeschool Arnhem Nijmegen

December 16, 2024

Discussion support tool: Digital and data literacy in education

This conversation tool gives you insight into how digital and data literate your current curriculum is and where adjustments are needed.

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Programma Realisatie Koersbeeld

November 19, 2024

Gesprekstool: digi- en datavaardig onderwijs

Deze gesprekstool geeft je inzicht in hoe digi- en datavaardig je huidige onderwijs is en waar aanpassing van het onderwijs nodig is.

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Programma Realisatie Koersbeeld, Expertiseteam Digi- en Datavaardigheid

August 23, 2023

Lecture: EU proposal of Regulation on HCAI applications

The objective of the course is to introduce the students to the legal environment of AI, including especially the basic principles and guidelines and the present and possible future framework of these laws, especially the Artificial Intelligence Act of the EU. The lecture helps recognise and mitigate the risks, know the accountability and governance implications of AI, and what we need to do to ensure lawfulness, fairness, and transparency in AI systems.

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HCAIM Consortium

August 23, 2023

Practical: Effective of EU proposal of Regulation on AI

Understand the EU AI Act, Understand the application of risk-approach in the EU AI act,

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HCAIM Consortium

August 23, 2023

Lecture: EU Human Rights Legislation

To rational and discuss the topics related to AI and human rights

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HCAIM Consortium

August 23, 2023

Lecture: Data and its challenges - Data Regulations, Data Sourcing and HCAI prospective

Understand the importance of various data requisitions Explore the common challenges in managing and utilizing data The ethical consideration of handling data

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HCAIM Consortium

August 23, 2023

Interactive session: Risk & Risk mitigation

Recognize, analyze and discuss the necessity and the role of security testing in AI. Employ documents, such as the AI Act, to classify use cases into risk categories. Discuss in-depth and with common European vocabulary on AI risk and how can AI be designed safely and benevolently, in ways that will not expose humans to unacceptable risks of harm, even when risky behaviour may advance a system goal. Classify the obligations of providers and users in relation to AI risk management. Discuss the requirements for high-risk AI systems as per the AI Act. Elaborate and recognize specific risks and risk taxonomies, relevant throughout the different stages of the AI lifecycle.

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HCAIM Consortium

May 8, 2018

03-14: Theory - ASSIGNMENT 1: WHAT IS EMPIRICAL RESEARCH?

In this assignment the following items will be discussed: In this assignment, you will practice with all aspects of the wheel of science, you will also familiarize yourself with the basic aspects of decision making and with the relationship between decision making and research.

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Henk van der Kolk