AI success will depend on who builds the systems and how we deploy them
Blogs
17.12.2025
AI is often framed as a driver of growth and productivity, and economic analyses focus on productivity gains, potential for GDP growth, and job market impacts. Yet this perspective overlooks how AI is reshaping the social fabric of work: the organisation of workplaces, the distribution of power, and the conditions under which people participate in economic life.
We must redefine what success in AI means
Blogs
15.12.2025
Our collective understanding of what makes AI successful remains narrow and incomplete. Success in AI is often equated with technological sophistication or economic efficiency. How quickly can systems learn? How much productivity will they generate? How do they scale in specific contexts?
The success of AI depends on its environmental footprint
Blogs
11.12.2025
As Europe moves toward greater AI sovereignty, defining what societal success means has never been more crucial. Last week, our webinar titled “What is success in European AI?” set out to discuss just that.
AI Success Factors for SMEs: Insights from Our Workshop in Dublin
Blogs
1.10.2025
On September 18th, the FORSEE project brought together small business representatives for a half-day workshop in Dublin to explore what makes AI adoption successful for SMEs. The workshop marked a milestone in capturing the lived experiences of SMEs: their expectations, challenges, and ideas for shaping an enabling environment in Europe.
Dirty Realities of AI: The Jevons Paradox
Blogs
18.9.2025
There is a growing recognition that the development of AI has an environmental dimension. However, the AI industry increasingly frames efficiency gains as a step toward sustainability and greener AI. This is where Jevons paradox comes in: the more efficient and accessible AI becomes, the more it’s used, and its larger environmental footprint grows.
Why the EU’s AI Act Must Be a Framework for Learning
Blogs
28.8.2025
The AI Act represents a significant step toward regulating AI technologies across diverse sectors, with the dual aims of ensuring safety and safeguarding fundamental rights. However, as there are multiple uncertainties in the enforcement of the Act, it should be interpreted as a framework for learning.
How Can We Ensure Responsible Use of AI in Research?
Blogs
25.8.2025
Researchers are increasingly required to evaluate how AI use in conducting, communicating, and evaluating research aligns with core values of reliability, honesty, respect, and accountability. There is an urgent need to accelerate policy and best practice development in addressing challenges regarding the responsible use of AI in research.
Why Do We Need a Human Rights-Based Approach to AI Governance?
Blogs
26.6.2025
What would a human rights-based approach mean to AI governance, and how could it counter ethics washing in the AI industry? In a recent episode of the Brain for Business podcast, FORSEE researcher Dr. Marta Lasek-Markey (ADAPT Centre) and Professor Linda Hogan (Trinity College Dublin) delve into their paper, Towards a Human Rights-Based Approach to Ethical AI Governance in Europe.
Embedding the Environment into AI Policy – FORSEE Submission to Apply AI Strategy
Blogs
4.6.2025
FORSEE submission to call for evidence of Apply AI Strategy: Large-scale AI models depend on energy-intensive infrastructures such as data centres, which consume vast amounts of electricity, water, and other natural resources. Despite this, public and policy discussions continue to treat AI as largely immaterial, sidelining the physical and ecological realities of digital expansion.
Introducing FORSEE: Why and How We Can Forge Successful AI Applications for Europe
Blogs
30.3.2025
Artificial intelligence is big news. Its influence spans from workplaces and schools to policymaking and media discussions, shaping not only how we live our lives but also the foundations of our societies. Yet, we tend to approach AI solely in terms of innovation, business and market growth.
