Designing Futures: Exploring AI, Data, Architecture and beyond.

How much of our behaviour is truly our own — and how much is designed?In this new episode of Designing Futures: Exploring AI, Data, Architecture & Beyond,we are joined by Patrick Fagan, one of the leading figures in applied behavioural science, to unpack how psychology, data, and generative AI increasingly shape human decision-making.We explore how behavioural science moved from academic labs into real-world systems — marketing, politics, platforms — and why what works in theory often breaks in context. From pricing experiments that backfire to personality-driven segmentation, this conversation reveals why human behaviour resists simple models.Together, we dive into:why personality (OCEAN / Big Five) can outperform demographicshow AI now personalises not just content, but tone, aesthetics, and psychological framingwhat this means for design, architecture, urban environments, and spatial experienceand how to build critical distance in a world optimised for influenceDrawing from his latest book Free Your Mind, Patrick also shares why understanding influence is no longer just a marketing skill — but a civic and creative necessity.

Jez Groom — founder & CEO of Cowry Consulting and a pioneer in applied behavioral science — joins us on Designing Futures.With 14+ years of helping global organizations from Amazon to HSBC understand human behavior, Jez explains why most decisions are non-rational, why intentions rarely translate into action, and how simple tweaks can shift behaviour in powerful ways.This episode makes the case for behavioral intelligence — blending psychology, data, and AI — as a smarter path forward than “AI-first” thinking. Digital traces reveal what people do, but only behavioral science uncovers the deeper why: the subconscious, social, and emotional drivers behind choice. From psychometrics to biometrics, we explore how these methods are reshaping the way we design experiences that people actually follow through on.

Luc Izri — architect, theorist, and co-founder of Inflexion Dynamics — joins us to explore the evolving relationship between computation and design thinking. With a deep background in algorithmic and topological design education, Luc brings a fresh perspective on how AI is transforming not only architectural practice, but the way we teach and learn it.This episode delves into the challenges and opportunities of educating architects at a time when tools can generate, iterate, and optimize with increasing ease. What should we let go of? What do we hold on to? And how can we better prepare students for a profession in transformation?From shifting workflows to transdisciplinary futures, we reflect together on authorship, complexity, and the emerging soft skills that could redefine the architect’s role in a changing world.Join us as we rethink not only how we design — but how we decide, teach, and evolve alongside new forms of intelligence.

In the rapidly evolving world of AI, one of the most pressing questions is: Can AI models truly unlearn?As AI becomes more integrated into our daily lives, ensuring healthier, bias-free models is crucial. In this episode, we dive deep into a groundbreaking approach—machine unlearning—with Ben Louria, founder of Hirundo.His platform tackles one of the biggest challenges: removing harmful or biased data from AI systems without requiring a complete retraining. Imagine an AI model that can ‘forget’ misinformation or user-specific data, making the technology more accurate, ethical, and adaptable. Instead of costly and time-consuming retraining, could we just delete the biased data? And what does this mean for AI’s future in industries like healthcare, finance, but also creative fields?Join us to explore the possibilities of creating healthier AI models and reshaping the future of Artificial Intelligence.This is an episode you don’t want to miss!

We are delighted to present another thought-provoking episode exploring the critical topics of accountability and responsibility in Artificial Intelligence within the creative industries.In this episode, we are honored to welcome Vered Horesh from Bria AI, a visionary in the field of AI. Vered shares the journey and mission of Bria AI, emphasizing the importance of ethical and responsible AI development. Bria AI stands at the forefront of visual generative AI, ensuring that original creators are fairly compensated and represented.The conversation extends to explore Bria AI's unique approach to transparency, safety, and inclusivity in AI. From their proprietary attribution technology to their commitment to diverse and unbiased data sets, Bria AI sets new standards for responsible AI deployment. Learn how Bria AI collaborates with global brands to create tailored, ethically sound AI solutions.In an era where AI technologies are becoming increasingly pervasive, this episode serves as a timely reminder of the ethical imperatives that companies must consider. From ensuring transparency in AI algorithms to addressing biases and potential harms, this discussion explores the multifaceted challenges and opportunities that lie ahead.Join us for this engaging and thought-provoking episode as we navigate the future of AI accountability and responsibility.

In this episode, we're joined by Florian Schneider, a prominent figure navigating the intersections of art, technology, and documentary practices. As a filmmaker, writer, curator, and esteemed Professor at NTNU, Florian has spearheaded groundbreaking discussions on the role of artificial intelligence (AI) in reshaping creativity and ownership across the cultural landscape, particularly in architecture.We delve into Florian's insights on how AI is transforming traditional notions of intellectual property, introducing the concept of "imaginary property" and challenging us to rethink ownership in the digital age. We explore the resistance of architecture to intellectual property laws, contrasted with its prevalence in cinema and literature, and the implications of the data economy's rise on creative industries.Join us as we discuss the impact of generative AI and automation on conventional intellectual property rights, the potential for cross-creation, and the need for new juridical concepts to address the intertwined futures of humans, machines, and collective creativity.

In our third episode, meet Lara Belkind, a passionate architectural historian and lecturer at Syracuse University. Follwoing a double Master’s degrees in Architecture and Urban Planning from Harvard University, Lara is currently pursuing her PhD at the same prestigious institution.Her research delves into the fascinating intersection of new technology and urban space, specifically in New York and Greater Paris. She has also shared her expertise at esteemed institutions such as Columbia University, the Architectural Association, Yale, and Harvard. Beyond academia, Lara has actively contributed to urban regeneration strategies, collaborating with public agencies in New York and Washington, DC.With Lara we discussed historic parallels within architecture and AI - questioning whether we can draw comparisons to technological advances that would have potentially created a paradigm shift in the past; similar to what we’re seeing and experiencing today.Join us in as we unravel these intricate layers of history, art and architecture and how these shifts in the past impacts the work we do today.

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