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

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 this episode, we're joined by Roey Granot, co-founder of QBIQ, a trailblazing company using artificial intelligence to transform how we design and plan spaces. QBIQ's platform allows brokers, landlords, architects, and tenants to generate instant, customized layout plans and immersive 3D tours—redefining workflows across real estate and architecture.We explore the founding story of QBIQ, the promise (and limitations) of AI in architectural design; From data-driven design to personalization at scale, Roey shares how QBIQ operates at the intersection of Architecture, Data, and AI—and what the future holds for our industry.Join us as we unpack the opportunities and challenges of integrating AI into the creative process—and consider what it means for the future of space planning.

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!

In this episode, we're joined by Husain Al Asfoor, founder of Ebinaa, a platform dedicated to streamlining relationships throughout the real-estate journey. Husain has been at the forefront of digitizing the design and construction industry, with a deep focus on enhancing the flow of information across the real estate sector. His insights on how data-driven innovations can transform current practices and improve decision-making are invaluable.We dive into Husain's journey of founding Ebinaa, explore the role of data and AI in tackling key challenges in real estate, and discuss the future of digital tools in construction. Join us as we uncover the power of predictive analytics, real-time insights, and how Ebinaa is revolutionizing the industry through advanced technology.

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.

We are thrilled to bring you an insightful episode that dives deep into the pressing issues of accountability and responsibility in the realm of Artificial Intelligence within the creative industries. Introduction by Dyann Heward-Mills: The EU AI ActTo set the framework, we have the honor of welcoming Dyann Heward-Mills:, an esteemed expert in AI policy and regulation and founder & CEO of HewardMills Ltd. Data Protection Officer. Dyann provides an enlightening introduction to the EU AI Act, shedding light on its significance and the regulatory framework it offers to govern AI technologies in the European Union. With the EU AI Act setting a precedent for responsible AI development and deployment, Dyann's insights set the stage for an engaging discussion. Main Segment: Marc Levy on AI Accountability & ResponsibilityFollowing Dyann's introduction, we are privileged to feature a thought-provoking conversation with Marc Levy, a leading author with a strong voice on AI ethics and governance. Marc delves into the critical aspects of accountability and responsibility that companies must uphold as they integrate AI into their operations.In an era where AI technologies are becoming increasingly pervasive, Marc's insights serve as a timely reminder of the ethical imperatives that companies must consider. From ensuring transparency in AI algorithms to addressing biases and potential harms, Marc explores the multifaceted challenges and opportunities that lie ahead.Tune in now to gain valuable insights and join the conversation on shaping a more responsible AI future for creative industries !

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 this episode, we welcome Mohammed Almahmood to explore the intersection of artificial intelligence (AI) and urbanism. With over 15 years of experience and a passion for creating human-centric public spaces, Mohammed provides a critical insight into how AI is transforming urban design. We discuss the impact of AI on data collection, simulation modeling, and the challenges and opportunities it brings to urban planning. Mohammed shares his approach to urban design, emphasizing the importance of a human-centered perspective and the risks of evidence-based urbanism. Our discussion will cover the use of AI from the design phase to real-time urban interactions, addressing potential biases in AI tools and the significance of real-time data in decision-making. Join us for a compelling conversation on the future of urban design in the age of AI, offering insights for professionals and enthusiasts alike.

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.

Immanuel Koh is an Assistant Professor in both Architecture & Sustainable Design (ASD) and Design & Artificial Intelligence (DAI) at the Singapore University of Technology and Design (SUTD). He directs Artificial-Architecture  — an interdisciplinary research laboratory that focuses on the design and development of deep learning models for artificial creativity, generative architecture, predictive urbanism.In this episode we talk about the premises of AI in architecture and how Immanuel developed the first course that aims to address a growing need for architects and designers to have a theoretical framework that allows them to critically engage with artificial intelligence.

Helen Armstrong is a Professor of Graphic & Experience Design and the Director of the MGXD Program at North Carolina State University. She is also the author of the book "Big Data - Big Design," which delves into essential questions about Design, Data, and AI in today's rapidly advancing AI landscape.We embark on our podcast journey with Helen, as both an educator and a researcher, covering topics at the crossraods between AI and creative industries.