Artificiality: Minds Meeting Machines

The world has been upended by the introduction of generative AI. We think this could be the largest advance in technology—ever. All of our clients are trying to figure out what to do, how to de-risk the introduction of these technologies, and how to design new, innovative solutions. To get a perspective on these changes created by AI, we talked with Lukas Egger who leads the Innovation Office & Strategic Projects team at SAP Signavio, where he focuses on de-risking new product ideas and establishing best-in-class product discovery practices. With a successful track record in team building and managing challenging projects, Lukas has expertise in data-driven technology, cloud-native development, and has created and implemented new product discovery methodologies. Excelling at bridging the gap between technical and business teams, he has worked in AI, operations, and product management in fast-growth environments. Lukas has movie credits for his work in Computer Graphics research, published a book on philosophy, and is passionate about the intersection of technology and people, regularly speaking on how to improve organizations. We love Lukas’ concept that we are in the peacock phase of generative AI when everyone is trying to show off their colorful feathers—and not yet showing off new value creation. We enjoyed talking with Lukas about his views on the realities of today and his forecasts and speculations on the future. About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Is technology good or bad for children? How should parents think about technology in their children’s lives? Are there different answers depending on the age of the child and their stage of development? What can we apply from what we know about children’s play and activity in the analog world to the digital world? How should product designers think about designing technology to be good for kids? How does AI and generative AI affect the answers to these questions, if at all? To answer some of these questions, we talked with Katie Davis about her recent book, Technology’s Child: Digital Media’s Role in the Ages and Stages of Growing Up. In her book, Katie shares her research on how children engage with technology at each stage of development, from toddler to twenty something, and how they can best be supported. As parents of five kids, we’re interested in these questions both personally and professionally. We are particularly interested in Katie’s concept of “loose parts” and how we might apply this idea to digital product design, especially AI design. We think anyone who has children or has an interest in technology’s impact on children will find Katie’s book highly informative and a great read. Katie Davis is Associate Professor at the University of Washington Information School, where she is a founding member and Co-Director of the UW Digital Youth Lab. She is the coauthor of The App Generation: How Today’s Youth Navigate Identity, Intimacy, Imagination in a Digital World and Writers in the Secret Garden: Fanfiction, Youth, and New Forms of Mentoring. About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Weather forecasting is fascinating. It involves making predictions in the complex, natural world, using a global infrastructure for people who have varying needs and desires. Some just want to know if we should carry an umbrella today. Others want to know how to prepare for a week-long trip. And then there are those who use the weather forecast to make decisions that can have significant, even critical, consequences. We also think weather forecasting is an interesting topic given the parallels to what we are experiencing in AI. Weather forecasting and AI systems are black box prediction systems, supported by a global infrastructure that is transitioning from public to private control. In weather, our satellite industry is transitioning from publicly-funded and controlled to private. And in AI, the major models and data are transitioning from academia (which we would argue is essentially public given their interest in publishing and sharing knowledge) to corporate control. Given this backdrop and the fact that Helen is an avid weather forecasting nerd, we talked with Andrew Blum about his book The Weather Machine: A Journey Inside the Forecast. The book is a fascinating narrative about how the weather forecast works based on a surprising tour of the infrastructure and people behind it. It’s a great book and we highly recommend it. Andrew Blum is an author and journalist, writing about technology, infrastructure, architecture, design, cities, art, and travel. In addition to The Weather Machine, Andrew also wrote Tubes: A Journey to the Center of the Internet which was the first ever book-length look at the physical infrastructure of the Internet—all the data centers, undersea cables and tubes filled with light. You can also find Andrew’s writing in many publications and hear him talk at various conferences, universities, and corporations. At the end of our interview, we talk with Andrew about his current research and we’re very much looking forward to his next book. About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

We’ve heard a lot about how generative AI may negatively impact careers in design. But we wonder how might generative AI have a positive impact on designers? How might generative AI be used as a tool that helps designers rather than as a replacement for designers? How might we use generative AI in design education? How do design educators and their students feel about generative AI? How else might generative AI help designers in ways that we haven’t uncovered yet? To answer these questions, we talked with Juan Noguera about his individual design work, his teaching at the Rochester Institute of Technology, and about his recent article in The Conversation entitled DALL-E 2 and Midjourney can be a boon for industrial designers. Juan proposes that AI image generation programs can be a fantastic way to improve the design process. Juan’s story about using generative AI working with bronze artisans in Guatemala is particularly compelling. Juan Noguera is an Assistant Professor of Industrial Design at the Rochester Institute of Technology. A Guatemalan, he was raised in a colorful and vivid culture. He quickly developed an interest in how things were made, tearing everything he owned apart, and putting it back together, often with a few leftover pieces. We enjoyed talking with Juan about his teaching, about his student’s projects, and about ideas he has for how AI might be able to help designers more in the future. Learn more about Juan Noguera. Read Juan Noguera’s article in The Conversation. Learn more about Juan Noguera’s work on AI in Design. About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

What role does design have in solving the world’s biggest problems? What can designers add? Some would say that designers played a role in getting us into our current mess. Can they also get us out of it? How can we design solutions for problems in complex systems that are evolving, emerging, and changing? To answer these questions, we talked with Don Norman about his book, Design for a Better World: Meaningful, Sustainable, Humanity Centered. In his book, Don proposes a new way of thinking, one that recognizes our place in a complex global system where even simple behaviors affect the entire world. He identifies the economic metrics that contribute to the harmful effects of commerce and manufacturing and proposes a recalibration of what we consider important in life. Don Norman is Distinguished Professor Emeritus of Cognitive Science and Psychology and founding director of the Design Lab at the University of California, San Diego from which he has retired twice. Don is also retired from and holds the emeritus title from Northwestern University, the Nielsen Norman Group and a few other organizations. He was an Apple Vice President, has been an advisor and board member for numerous companies, and has three honorary degrees. His numerous books have been translated into over 20 languages, including The Design of Everyday Things and Living with Complexity. It was a true pleasure to talk with Don, someone who we have read and followed for decades. His work is central to much of today’s design practices and we loved talking with him about where he hopes design may take us. Learn more about Don Norman. Learn more about Don’s book Design for a Better World. About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

What are the cause and effect of my actions? How do I know the effect of the small acts in my life? How can I identify opportunities to have impact that is much larger than myself? How can we make problems that seem overwhelmingly complex feel more manageable and knowable? How might we use the scaling tools of designers to tackle some of the world’s largest and most complex problems? To answer these questions, we talked with Jamer Hunt about his book Not to Scale: How the Small Becomes Large, the Large Becomes Unthinkable, and the Unthinkable Becomes Possible. The book repositions scale as a practice-based framework for navigating soci al change in complex systems. Jamer is Professor of Transdisciplinary Design and Program Director for University Curriculum at the New School’s Parsons School for Design. Jamer was the founding director of the Transdisciplinary Design graduate program at Parsons that was created to emphasize collaborative design-led research and a systems-oriented approach to social change. We’re big fans of Jamer’s book and have incorporated his concept of scalar framing into our work. We encourage you to check his book out as well and see how zooming in and out can help you frame complex problems in a way that makes them more addressable. Learn more about Jamer Hunt Learn more about Jamer’s book Not to Scale Learn more about the Transdisciplinary Design program at Parsons Watch the Powers of Ten by Charles & Ray Eames About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Why does ChatGPT matter? * People always get excited about AI advances and this one is accessible in a way that others weren’t in the past. * People can use natural language to prompt a natural language response. * It’s seductive because it feels like synthesis. * And it can feel serendipitous. But… * We need to remember that ChatGPT and all other generative AI are tools and they can fail us. * While it may feel serendipitous, that serendipity is more constrained than it may feel. Some other ideas we cover: * The research at Google, OpenAI, Microsoft, and Apple gives us some context for evaluating how special ChatGPT actually is and what might be ahead. * The current craze about prompt engineering. What we’re reading: * Raghuveer Parthasarathy’s So Simple a Beginning * Don Norman’s Design for a Better World * Jamer Hunt’s Not to Scale * Ann Pendleton-Jullian & John Seely Brown’s Design Unbound About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

We’re always looking for new ideas from science that we can use in our work. Over the past few years, we have been researching new ways to handle increasing complexity in the world and how to solve complex problems. Why do we seem to see emergent, adaptive, open, and networked problems more often? And why don’t they yield to traditional problem solving techniques? Our research has centered on complexity science and understanding how to apply its lessons to problem solving. Complexity science teaches us about the nature of complex systems including the nervous system, ecosystems, economies, social communities, and the internet. It teaches us ways to identify opportunities for change through metaphor, models, and math and ways to synchronize change through incentives. The Santa Fe Institute has been at the center of our complexity research journey. Founded in 1984, SFI is the leading research institute on complexity science. Its researchers endeavor to understand and unify the underlying, shared patterns in complex physical, biological, social, cultural, technological, and even possible astrobiological worlds. We encourage anyone interested in this topic to wander through the ample and diverse resources on the SFI website, SFI publications, and SFI courses. We had the pleasure of digging into complexity science and its applications with one of the leading minds in complexity, David Krakauer, who is President and William H. Miller Professor of Complex Systems at SFI. David's research explores the evolution of intelligence and stupidity on Earth. This includes studying the evolution of genetic, neural, linguistic, social, and cultural mechanisms supporting memory and information processing, and exploring their shared properties. He served as the founding director of the Wisconsin Institutes for Discovery, the co-director of the Center for Complexity and Collective Computation, and professor of mathematical genetics, all at the University of Wisconsin, Madison. He has been a visiting fellow at the Genomics Frontiers Institute at the University of Pennsylvania, a Sage Fellow at the Sage Center for the Study of the Mind at the University of California, Santa Barbara, a long-term fellow of the Institute for Advanced Study, and visiting professor of evolution at Princeton University. A graduate of the University of London, where he went on to earn degrees in biology and computer science, Dr. Krakauer received his D.Phil. in evolutionary theory from Oxford University. Learn more about SFI. Learn more about David Krakauer. About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Everyone’s talking about it so we will too. Generative AI is taking the world by storm. But is it a good storm or a scary storm? How should individuals think about what’s possible? What about companies? Our take: generative AI is hugely powerful but will always have flaws and potholes. As probabilistic systems, it will always produce errors—how will you plan for that? As systems that are trained on everything on the internet, they are essentially stealing IP from everyone, everywhere—how do you feel about participating in that theft? We’ve spent years witnessing companies take a “if we build it (data, analytics, AI), people will use it” approach—and fail. Digital transformation doesn’t happen successfully by itself. Digital transformation is actually all about people. Companies that succeed in integrating data, analytics, and AI are those that undertake thoughtful change management programs to help people understand how to integrate these technologies into their complex human systems. Generative AI is really exciting. But our prediction is that companies will need to undertake thoughtful change management to ensure they get the best out of these new AI technologies, not the worst. Nudges of the week Helen: Synthesize Later. Integrate argument and counter-argument into a decision. Good decisions involve reconciling subjective judgments and resolving clashing causal forces. The best way to do this is to be deliberate and conscious of the need to synthesize. Schedule a meeting titled “synthesis” and set expectations that now is the moment to step slowly through each point of view, iterate, and nudge each side. Have each side make a list of the things that would bring them toward each other. Failing to do this contributes to a sense that the decision is stuck. Dave: Explain, Teach, Pitch. Explanations and the stories that link cause and effect play a key role in allowing us to adapt flexibly to a changing world. Explaining our decisions is a generative act. We learn more about our own motivations and knowledge. Explanation is active and can help us when we need to rethink, reevaluate, and deal with regret. Teaching is set apart from explanation because good teaching also relies on empathy. A good teacher understands where the student is in their learning process and adjusts their teaching to fit the mental model of the learner. What We’re Learning Helen: Joined-Up Thinking by Hannah Critchlow. A great summary of the state of the science about how we can build our collective intelligence. A delightful read that Helen highly recommends. Dave: Don Norman’s next book who we will interview in the next few weeks! Stay tuned for that interview with one of Dave’s heroes. About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

What can we learn from the practice of design? What might we learn if we had an insight into top designers’ minds? How might we apply the best practices of designers beyond the field of design itself? Most of our listeners are likely familiar with design thinking—what other practices should we learn about and understand? To answer these questions, we talked with Kees Dorst about his books, Frame Innovation and Notes on Design, to discover his views on the creative processes of top designers and understand his practice of frame innovation. We enjoyed both books and find insights that extend well beyond design into all areas of problem solving. We are particularly interested in applying frame innovation in our complex problem-solving sprints and consulting practice. Kees Dorst is Professor of Transdisciplinary Innovation at the University of Technology Sydney’s TD School. He is considered one of the lead thinkers developing the field of design, valued for his ability to connect a philosophical understanding of the logic of design with hands-on practice. As a bridge-builder between these two worlds, his writings on design as a way of thinking are read by both practitioners and academics. He has written several bestselling books in the field – ‘Understanding Design’ (2003, 2006), ‘Design Expertise’ (with Bryan Lawson, 2013), 'Frame Innovation' (2015) ‘Designing for the Common Good’ (2016) and ‘Notes on Design – How Creative Practice Works’ (2017). About Artficiality from Helen & Dave Edwards: Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world. We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.  Subscribe for free at https://www.artificiality.world. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Learn more about ⁠⁠Sonder Studio⁠⁠ Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠ Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world. #ai #artificialintelligence #generativeai #airesearch #complexity #futureofai