Resilient and Responsible Uses of Generative AI

How to balance the opportunities of generative AI with a strong focus on privacy, sustainability, and governance?
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Introduction

The rise of generative artificial intelligence in professional contexts is moving at a rapid pace. However, many organizations struggle with how to deploy this technology effectively without compromising public accountability, digital autonomy, or privacy. While many courses merely scratch the surface with practical skills like prompt engineering, this three-day masterclass offers a future-proof and critical perspective.

You will not only learn how the technology works behind the scenes, but also how to make well-founded choices that align with your organization's core values.

Practical information

Start date
Friday 19 Feb 2027
Duration
3 days
Price
€2.450
Area of interest
AI, Data & Digitalisation, Public Domain & Governance, Society, Culture & Philosophy
Teaching mode
In-person

Who is this for?

This program is specially designed for non-technical professionals who hold responsibilities regarding AI implementation, oversight, sustainability, or privacy. Think of policymakers, privacy and sustainability officers, and professionals from both the public sector and private organizations (such as CSR departments). No prior technical knowledge of artificial intelligence is required; the essential fundamentals are covered on the first day. 

What will you achieve?

This course shifts your approach to generative AI from reactive adoption to informed, strategic leadership. Instead of simply following standard guidelines or chasing the latest tools, you will develop a proportionate understanding of both the technical mechanics and the broader societal implications of AI. This empowers you to anticipate technological shifts and shape responsible, future-proof AI governance within your own organizational context. By the end of the program, you will be able to:

  • Understand the technology: Look under the hood of AI tools so you know what you are working with and which rules and regulations apply.
  • Critically evaluate: Judge whether an AI tool—current or new—actually delivers, and at what cost to privacy, sustainability, and public accountability.
  • Make defensible calls: Make a well-founded decision when ethical principles or frameworks do not provide a clear answer, and explain it effectively to your management and the public you serve.
  • Leave with a concrete plan: Draft a generative AI implementation plan for your own organization that still holds up when the next tool or update arrives.

Program Structure

Resilient use and technical fundamentals

  • Introduction to the essential technical fundamentals behind Large Language Models (LLMs).

  • How to leverage these models effectively in a way that remains resilient to changes in technology and regulation.

Responsible use, privacy, and sustainability 

  • Key privacy considerations in relation to generative AI.

  • Effective recommendations to promote its use in an environmentally, economically, and societally sustainable way.

AI Governance and your own implementation plan

  • Morning: Deep dive into AI governance and strategic considerations.

  • Afternoon: An interactive game session using a digital game designed to foster critical thinking and debate, serving as the starting point to draft your organization's implementation plan.

Teaching Team

The programme is taught by an interdisciplinary team of experts from the Erasmus School of History, Culture and Communication (ESHCC):

  • Dr. João Fernando Ferreira Gonçalves (Associate Professor, expert in machine learning and societal impact)

  • Dr. Daniel Trottier (Associate Professor, expert in digitalization and privacy)

  • Dr. Freya de Keyzer (Assistant Professor, expert in persuasive communication and sustainability)

  • Dr. Izabela Derda (Assistant Professor, expert in AI governance for the creative industry)

  • Dr. Teresa de la Hera (Assistant Professor, expert in digital games and new media technologies for engagement)

Start date

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Meer weten over dit programma?

Sanne Sprengers

Programma- en procescoordinator

Email address
ovp@eur.nl

Facts & Figures

Start date
Friday 19 Feb 2027
Duration
3 days
Price
€2.450

Including:

  • Study materials
  • lunch and snacks and beverages
Tax
Not applicable
Instruction language
English
Teaching mode
In-person

Registration

Aanmeldformulier Resilient and Responsible Uses for AI

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