Our AI Future

Templeton Lecture 2025 - Generative AI: Crafting Our Future, One Algorithm at a Time

The advent of Generative AI signifies a pivotal moment in technological evolution, with the capacity to revolutionize industries and societies. In healthcare, AI is enhancing diagnostics and treatment planning. For instance, Generative AI algorithms are utilized to analyze medical images, enabling earlier and more accurate detection of diseases. In the education sector, Generative AI is personalizing learning experiences. AI-driven platforms can develop customized curricula tailored to individual students' learning styles and paces irrespective of their geographical location and socioeconomic status. 

As these advancements are embraced, it is imperative to consider the ethical implications and ensure the safety and security of AI systems. Addressing biases in algorithms and datasets is essential to prevent perpetuating inequalities. Transparency and accountability in AI development are crucial for upholding ethical standards and protecting user privacy. Furthermore, the development of AI must incorporate diverse perspectives to promote inclusivity. 

This talk with Dr. Ehi Nosakhare, moderated by Prof. Dr. Johannes Schöning will offer a comprehensive overview of the current state and future potential of Generative AI, highlighting its impact on healthcare and education, and emphasizing the importance of ethics, safety, and security in its development and deployment. We invite you to join us in exploring the intricate landscape of Generative AI and envision a world where technology serves as a catalyst for positive change.

Admission is free and all persons interested are welcome. After the lecture there will be an Apéro.

About Ehi Nosakhare 
Dr. Ehi Nosakhare is a Machine Learning Scientist and Women in STEM advocate. She is deeply passionate about using Artificial Intelligence (AI) to solve real-world problems, responsibly, and increasing the representation of women in AI. Currently, she works at Microsoft as a Senior Applied Science Manager, leading a team that uses innovative AI solutions to solve complex business and implementation challenges across a variety of Microsoft’s products.