How can ethics be made operational, measurable and verifiable? Lukas Madl had the opportunity to explore this question that is becoming increasingly important.
Delaying AI Act timelines doesn’t delay liability risks. The Digital Omnibus might push deadlines back but responsibility doesn’t get postponed with them.
How can responsible AI be achieved in hospitals? In yesterday’s workshop on the AIMS project, we discussed this very question in depth, in a very open and respectful exchange.
Can AI improve patient safety without compromising human values? This question was at the heart of the AIMS ethics workshop, held on June 2 at Johannes Kepler University Linz.
Marybelle Cherfan spoke with Lukas Madl about turning AI ethics into practice through Value-Based Engineering, EU AI Act compliance, auditability, and ethical guardrails for autonomous AI agents.
The Digital Omnibus on AI will likely delay key milestones of the EU AI Act.
However, deadlines may move but responsibility doesn’t—build trustworthy AI now.
Trust in digital and AI technologies is not built at the top. It is climbed — layer by layer. At the summit lies what we all want: trustworthy technology. But reaching it requires a solid foundation underneath.
Lukas Madl emphasized that ethical AI is not about machines acting morally, but about humans taking responsibility for its development and application.
Lukas Madl pointed out that many professions could be changed or even replaced by AI, and that we urgently need a socially acceptable transformation that focuses on people as a whole.
This workshop focused on the question: How is AI changing our humanity? Interactive group work sessions discussed real-life scenarios – from ChatGPT in higher education to AI in medicine and grief counseling.
The presentation highlighted the legal basis, outlined specific implementation strategies, and made it clear that data protection for children is not only a legal obligation but also a moral one.
The discussion covered whether we overestimate or underestimate AI, what ethical and regulatory challenges exist and how our trust in data-based systems is developing.
Lukas Madl emphasized that although artificial intelligence is powerful, it must be guided by human ethical responsibility to ensure that it benefits society.
In the long term, AI can only be successful and gain social acceptance if it is developed and used in an ethically responsible manner. Lukas Madl illustrated the risks of “high-impact innovations” when ethical principles are neglected.
In his lecture, Lukas Madl emphasized that technical innovation is not contrary to Christian faith, but rather can be a calling to imitate God’s creative power.
