Technology, AI & the Future of Innovation
levels of the hierarchy as well as young girls and young students. I coach them on staying authentic to who they are and their talents as women, and bring men as allies, mentors and build also an ex- ternal support system. This is something we need to do together with the gentlemen, so I encourage all to support #allyship. Kamil: From your perspective, what is the single most important step the global AI community could take today to align innovation with long- term societal safety and benefit? Prof. Dr. Kathrin: If I could trigger one global shift today, it would be the move toward Causal AI over Predictive AI . We must align innovation with long-term safety by ensuring that every AI system is Interpretable . We cannot trust what we cannot explain. Aligning AI with humanity is not a technical problem to be solved with more code; it is a philosophical commitment to keep the Human Spirit as the primary variable in the equation of our future. It has been a pleasure. Now, if you’ll excuse me, I believe there is a room-temperature quantum paradox that requires my attention—or perhaps just a very well-brewed espresso.
Prof. Dr. Kathrin: Traditional curricula are far too focused on Python and Pytorch. Future AI leaders need: Systems Engineering Thinking: Understanding how a single line of code ripples through a global supply chain. Epistemological Humility: The ability to question the “certainty” of a model’s output. Governance Fluency: Knowing the difference between Legal and Ethical—the two are rarely synonymous in tech. Kamil: Given your work in global governance frameworks, how can international collaboration be strengthened to ensure responsible AI deployment across different regions? Prof. Dr. Kathrin: AI is borderless; our data flows like water. We must strengthen frameworks like the UN’s Support Action Cen- tre JDI or the Global Council for Responsible AI (where I serve as Governor for Switzerland). The key is Technology Transfer. We cannot have a “Global North” that owns the intelligence and a “Global South” that provides the raw data and label-labor. Co- llaboration must be built on Sovereign AI —allowing regions to build models that reflect their own cultural and linguistic nuances. Kamil: As someone deeply involved in mentorship and women-in-tech initiatives, what structural changes are still needed to increase women’s leadership in AI and deep tech fields? Prof. Dr. Kathrin: We’ve moved past the “pipeline” problem; we now have a “power” problem. Women represent roughly 22% of AI professionals but hold fewer than 14% of senior leadership roles. The Change: We need Radical Transparency in Promotion Algorithmic Audits . Just as an AI used to hire and promote could be biased, the glass ceiling becomes a titanium one when managed by humans. We also need to normalize the “Multi- Hyphenate” career—where a woman can be an academic, an entrepreneur, and a leader without being penalized for “lack of focus.” Unfortunately there is still a lot of prejudice that women who are mothers are able to be as performant as their male counterparts, or when they don’t belong to a specific what I call: “The-Boys Club”, women are sidelined and ignored. I myself have learnt the ropes, with a career of 23 years one of the most male dominated industries, the German Automotive industry. That is why I work as a mentor and coach of women leaders at all
“We cannot trust what we cannot explain.”
PROF. DR. KATHRIN G. KIND CEO and Co-Founder of QubitNexus.AI, Professor for AI, Data , Quantum Computing, Cybersecurity and emerging Tech applied to business at Paris School of management and SSBM Geneva, Core Member of WEF Global Future Council for Data Foundation, Board Member at different companies, Responsible AI Gover- nor for Switzerland and Hon. Ambassador for Digital Rights at the UN Support Action Centre JDI
https://www.linkedin.com/drkind
DAVOS CLUB 9
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