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Artificiality: Being with AI

Helen and Dave Edwards
Artificiality: Being with AI
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  • John Pasmore: Inclusive AI
    In this conversation, we explore the challenges of building more inclusive AI systems with John Pasmore, founder and CEO of Latimer AI and advisor to the Artificiality Institute. Latimer represents a fundamentally different approach to large language models—one built from the ground up to address the systematic gaps in how AI systems represent Black and Brown cultures, histories, and perspectives that have been largely absent from mainstream training data.John brings a practical founder's perspective to questions that often remain abstract in AI discourse. With over 400 educational institutions now using Latimer, he's witnessing firsthand how students, faculty, and administrators are navigating the integration of AI into learning—from universities licensing 40+ different LLMs to schools still grappling with whether AI represents a cheating risk or a pedagogical opportunity.Key themes we explore:The Data Gap: Why mainstream LLMs reflect a narrow "Western culture bias" and what's missing when AI claims to "know everything"—from 15 million unscanned pages in Howard University's library to oral traditions across thousands of indigenous tribes.Critical Thinking vs. Convenience: How universities are struggling to preserve deep learning and intellectual rigor when AI makes it trivially easy to get instant answers, and whether requiring students to bring their prompts to class represents a viable path forward.The GPS Analogy: John's insight that AI's effect on cognitive skills mirrors what happened with navigation—we've gained efficiency but lost the embodied knowledge that comes from building mental maps through direct experience.Multiple Models, Multiple Perspectives: Why the future likely involves domain-specific and culturally-situated LLMs rather than a single "universal" system, and how this parallels the reality that different cultures tell different stories about the same events.Excavating Hidden Knowledge: Latimer's ambitious project to digitize and make accessible vast archives of cultural material—from church records to small museum collections—that never made it onto the internet and therefore don't exist in mainstream AI systems.An eBay for Data: John's vision for creating a marketplace where content owners can license their data to AI companies, establishing both proper compensation and a mechanism for filling the systematic gaps in training corpora.The conversation shows that AI bias goes beyond removing offensive outputs. We need to rethink which data sources we treat as authoritative and whose perspectives shape these influential systems. When AI presents itself as an oracle that has "read everything on the internet," it claims omniscience while excluding vast amounts of human knowledge and experience.The discussion raises questions about expertise and process in an era of instant answers—in debugging code, navigating cities, or writing essays. John notes that we may be "working against evolution" by preserving slower, more effortful learning when our brains naturally seek efficiency. But what do we lose when we eliminate the struggle that builds deeper understanding?About John Pasmore: John Pasmore is founder and CEO of Latimer AI, a large language model built to provide accurate historical information and bias-free interaction for Black and Brown audiences and anyone who values precision in their data. Previously a partner at TRS Capital and Movita Organics, John serves on the Board of Directors of Outward Bound USA and holds degrees in Business Administration from SUNY and Computer Science from Columbia University. He is also an advisor to the Artificiality Institute.
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  • De Kai: Raising AI
    In this conversation, we explore how humans can better navigate the AI era with De Kai, pioneering researcher who built the web's first machine translation systems and whose work spawned Google Translate. Drawing on four decades of AI research experience, De Kai offers a different framework for understanding our relationship with artificial intelligence—moving beyond outdated metaphors toward more constructive approaches.De Kai's perspective was shaped by observing how AI technologies are being deployed in ways that increase rather than decrease human understanding. While AI has tremendous potential to help people communicate across cultural and linguistic differences—as his translation work demonstrated—current implementations often amplify polarization and misunderstanding instead.Key themes we explore:Beyond Machine Metaphors: Why thinking of AI as "tools" or "machines" is dangerously outdated—AI systems are fundamentally artificial psychological entities that learn, adapt, and influence human behavior in ways no coffee maker ever couldThe Parenting Framework: De Kai's central insight that we're all currently "parenting" roughly 100 artificial intelligences daily through our smartphones, tablets, and devices—AIs that are watching, learning, and imitating our attitudes, behaviors, and belief systemsSystem One vs. System Two Intelligence: How current large language models operate primarily through "artificial autism"—brilliant pattern matching without the reflective, critical thinking capacities that characterize mature human intelligenceTranslation as Understanding: Moving beyond simple language translation toward what De Kai calls a "translation mindset"—using AI to help humans understand different cultural framings and perspectives rather than enforcing singular universal truthsThe Reframing Superpower: How AI's capacity for rapid perspective-shifting and metaphorical reasoning represents one of humanity's best hopes for breaking out of polarized narratives and finding common groundSocial Fabric Transformation: Understanding how 800 billion artificial minds embedded in our social networks are already reshaping how cultures and civilizations evolve—often in ways that increase rather than decrease mutual understandingDrawing on insights from developmental psychology and complex systems, De Kai's "Raising AI" framework emphasizes conscious human responsibility in shaping how these artificial minds develop. Rather than viewing this as an overwhelming burden, he frames it as an opportunity for humans to become more intentional about the values and behaviors they model—both for AI systems and for each other.About De Kai: De Kai is Professor of Computer Science and Engineering at HKUST and Distinguished Research Scholar at Berkeley’s International Computer Science Institute. He is Independent Director of AI ethics think tank The Future Society, and was one of eight inaugural members of Google’s AI ethics council. De Kai invented and built the world’s first global-scale online language translator that spawned Google Translate, Yahoo Translate, and Microsoft Bing Translator. For his pioneering contributions in AI, natural language processing, and machine learning, De Kai was honored by the Association for Computational Linguistics as one of only seventeen Founding Fellows and by Debrett’s as one of the 100 most influential figures of Hong Kong.
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  • Adam Cutler: AI, Design, and the Human Future
    In this conversation, we sit down with Adam Cutler, Distinguished Designer at IBM and pioneer in human-centered AI design, to explore how generative AI is reshaping creativity, reliance, and human experience. Adam reflects on the parallels between today’s AI moment and past technology shifts—from the rise of Web 2.0 to the early days of the internet—and why we may be living through a “mini singularity.” We discuss the risks of over-reliance, the importance of intentional design, and the opportunities for AI to augment curiosity, creativity, and community. As always, a conversation with Adam provides a thoughtful and caring view of possible futures with AI. And it's heartening to spend time with someone who is so central to the future of AI who consistenly thinks about humans first.Adam will be speaking (again) at the Artificiality Summit in Bend, Oregon on Oct 23-25, 2025. More info: https://artificialityinstitute.org/summit
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  • Joscha Bach at the Artificiality Summit 2024
    In this episode, we bring you a lecture from the Artificiality Summit in October 2024 given by Joscha Bach. Joscha is a cognitive scientist, AI researcher, and philosopher known for his work on cognitive architectures, artificial intelligence, mental representation, emotion, social modeling, multi-agent systems, and philosophy of mind. His research aims to bridge cognitive science and AI by studying how human intelligence and consciousness can be modeled computationally.In his lecture, Joscha explores the nature of intelligence, consciousness, and reality. Drawing from philosophy, neuroscience, and artificial intelligence, Joscha examines how minds emerge, how consciousness functions as the “conductor” of our mental orchestra, and why software and self-organization may hold the key to understanding life itself. He also reflects on animism, the possibility of machine consciousness, and the cultural meaning of large language models. A provocative talk that blends science, philosophy, and speculation on the future of minds—both human and artificial.
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  • Christine Rosen: The Extinction of Experience
    In this conversation, we explore the shifts in human experience with Christine Rosen, senior fellow at the American Enterprise Institute and author of "The Extinction of Experience: Being Human in a Disembodied World." As a member of the "hybrid generation" of Gen X, Christine (like us) brings the perspective of having lived through the transition from an analog to a digital world and witnessed firsthand what we've gained and lost in the process.Christine frames our current moment through the lens of what naturalist Robert Michael Pyle called "the extinction of experience"—the idea that when something disappears from our environment, subsequent generations don't even know to mourn its absence. Drawing on over 20 years of studying technology's impact on human behavior, she argues that we're experiencing a mass migration from direct to mediated experience, often without recognizing the qualitative differences between them.Key themes we explore:The Archaeology of Lost Skills: How the abandonment of handwriting reveals the broader pattern of discarding embodied cognition—the physical practices that shape how we think, remember, and process the world around usMediation as Default: Why our increasing reliance on screens to understand experience is fundamentally different from direct engagement, and how this shift affects our ability to read emotions, tolerate friction, and navigate uncomfortable social situationsThe Machine Logic of Relationships: How technology companies treat our emotions "like the law used to treat wives as property"—as something to be controlled, optimized, and made efficient rather than experienced in their full complexityEmbodied Resistance: Why skills like cursive handwriting, face-to-face conversation, and the ability to sit with uncomfortable emotions aren't nostalgic indulgences but essential human capacities that require active preservationThe Keyboard Metaphor: How our technological interfaces—with their control buttons, delete keys, and escape commands—are reshaping our expectations for human relationships and emotional experiencesChristine challenges the Silicon Valley orthodoxy that frames every technological advancement as inevitable progress, instead advocating for what she calls "defending the human." This isn't a Luddite rejection of technology but a call for conscious choice about what we preserve, what we abandon, and what we allow machines to optimize out of existence.The conversation reveals how seemingly small decisions—choosing to handwrite a letter, putting phones in the center of the table during dinner, or learning to read cursive—become acts of resistance against a broader cultural shift toward treating humans as inefficient machines in need of optimization. As Christine observes, we're creating a world where the people designing our technological future live with "human nannies and human tutors and human massage therapists" while prescribing AI substitutes for everyone else.What emerges is both a warning and a manifesto: that preserving human experience requires actively choosing friction, inefficiency, and the irreducible messiness of being embodied creatures in a physical world. Christine's work serves as an essential field guide for navigating the tension between technological capability and human flourishing—showing us how to embrace useful innovations while defending the experiences that make us most fully human.About Christine Rosen: Christine Rosen is a senior fellow at the American Enterprise Institute, where she focuses on the intersection of technology, culture, and society. Previously the managing editor of The New Republic and founding editor of The Hedgehog Review, her writing has appeared in The Atlantic, The New York Times, The Wall Street Journal, and numerous other publications. "The Extinction of Experience" represents over two decades of research into how digital technologies are reshaping human behavior and social relationships.
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Om Artificiality: Being with AI

Artificiality was founded in 2019 to help people make sense of artificial intelligence. We are artificial philosophers and meta-researchers. 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 publish essays, podcasts, and research on AI including a Pro membership, providing advanced research to leaders with actionable intelligence and insights for applying AI. Learn more at www.artificiality.world.
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