Programme
Webinars, workshops and open conversations — free, paid and invite-only.
Proposed — scheduled when enough people want them
Inclusive AI: Who Are We Designing For?
AI systems can unintentionally exclude people when their needs, languages, abilities, or circumstances are overlooked. Explore how inclusive design principles and community perspectives can support more accessible, equitable, and useful AI technologies.
The AI Divide: Beyond Devices and Connectivity
Connectivity alone does not guarantee meaningful access to AI-enabled services and opportunities. Explore how computing resources, accessible interfaces, language coverage, data representation, service design, and institutional capacity are creating a new layer of digital inequality.
Who Can Afford to Benefit from AI?
Access to AI's benefits depends on more than whether a tool is publicly available. Explore how cost, infrastructure, institutional support, language access, disability, and unequal resources can determine which communities gain meaningful opportunities from AI.
Before You Share It: A New Literacy for the AI Era
Sharing information online can amplify misleading or inaccurate content, even unintentionally. Explore practical habits for evaluating claims, recognizing emotional manipulation, checking context, and making more responsible decisions before reposting or distributing digital content.
Why Deepfakes Persuade Even When We Know They Exist
Awareness of deepfakes does not automatically protect people from their influence. Explore how emotional reactions, repetition, social context, and existing beliefs make synthetic media persuasive—and what media literacy can do to strengthen public resilience.
How Synthetic Media Exploits What We Expect to See
Synthetic media can appear convincing because it draws on familiar visual conventions, emotional cues, and assumptions about how authentic content should look. Explore how AI-generated media exploits these expectations and how stronger media-literacy habits can reduce manipulation.
Can Regulation Keep Up With AI?
AI capabilities evolve faster than many traditional policy processes. Explore how governments can balance innovation, public protection, accountability, and adaptability when developing rules for emerging technologies.
Europe's Digital Future: Innovation, Security and Technological Independence
Europe faces important choices about technological competitiveness, digital infrastructure, security, and dependence on external technology providers. Explore how innovation policy, digital sovereignty, and strategic investment influence Europe's digital future.
Whose Values Are Inside the Algorithm?
AI systems reflect choices about data, design, priorities, and acceptable outcomes. Explore how cultural assumptions, institutional interests, and competing values shape algorithmic behavior and its consequences.
Are Some Uses of AI Morally Unacceptable?
Some AI applications may remain ethically troubling even when they are legal, accurate, or efficient. Explore how autonomy, dignity, fairness, vulnerability, and social harm can help societies judge whether particular uses of AI should be rejected or constrained.
Just Because AI Can Do It, Should It?
Technical capability does not automatically justify use. Explore how ethical principles, potential harm, human dignity, and social consequences should influence decisions about where and how AI is deployed.
Can Moral Responsibility Be Shared with a Machine?
AI can shape harmful or unfair outcomes, but machines do not bear responsibility in the same way people and institutions do. Explore whether moral responsibility can be distributed across designers, organizations, users, and automated systems—and what must remain irreducibly human.
Who Gets to Participate in an AI-Shaped Society?
As digital and AI-mediated systems become part of public services, communication, education, and everyday routines, participation may become easier for some people and harder for others. Explore how access, confidence, design, and social expectations shape inclusion in digital society.
When Content Is Abundant, What Gets Heard?
Generative AI enables many more people and organizations to produce text, images, audio, and video at scale. Explore how content abundance changes public attention, creative participation, visibility, representation, and whose voices are heard in digital spaces.
What Happens to Public Trust When Information Becomes Synthetic?
Synthetic media changes more than whether individual claims appear credible. Explore how widespread uncertainty about what is real can affect public institutions, shared knowledge, civic discussion, and people's willingness to participate in digital public life.