About Artificiality

Who We Are

The Artificiality Institute is a nonprofit research organization shaping the human experience in a world of synthetic intelligence. We explore how humans and AI co-evolve—through story, design, and dialogue—so our future with AI is more meaningful, not just more efficient.

We guide this transformation by grounding our work in lived experience. Through story-based research, experimental design, and cultural dialogue, we capture how identities blend, cognition extends beyond biology, and meaningful symbiosis with synthetic minds becomes reality. We don’t just study AI—we shape how it reshapes us.

At a time when synthetic systems are accelerating into every aspect of human life, we believe it is not enough for AI to be safe or efficient. It must be worth it. That means designing for symbiosis—for systems that deepen reflection, invite awe, and elevate what makes us human.

We take an unapologetically human-centered stance: to intervene in defaults before they calcify, to prototype tools for meaning—not just productivity—and to co-create a world where artificial minds are not just embedded in our systems, but entangled in our stories.

Originally founded in 2019, Artificiality was re-established in 2025 as a nonprofit research institute dedicated to shaping the human experience in a synthetic world.

Our Mission and Vision

• Mission: To shape the emerging human experience in an increasingly synthetic world through participatory research, inclusive design, and public storytelling.
• Vision: A world where human identity is enriched by awe of diverse intelligences, wonder at emergent consciousness, and symbiosis with minds created for our minds.
• Metrics: We will co-create a public record of 1 million moments between people and AI, influence products reaching 1 billion people, and help shape technologies that positively impact 1 trillion hours of human life.

Why Now

This is an unprecedented moment. Synthetic intelligences are emerging and they are capable of reasoning, creating, and potentially understanding the world alongside us. Unlike previous technologies that expanded physical capacities, today's AI extends our cognitive abilities, dissolving boundaries between human and machine thought. This critical window offers a rare chance to shape human-AI relationships before default patterns harden—risking futures that are extractive, asymmetrical, or fundamentally misaligned with human flourishing.

Decisions, frameworks, and interfaces established over the next five years will set precedents lasting generations. Without intention, early precedents risk being set by expedience rather than wisdom. The race to deploy AI-powered products has created breakneck cycles. In this climate, design often becomes reactive and reductive—tacked on after functionality is locked in. We believe design must evolve—shaped for human-AI symbiosis—by grounding itself in openness and in the lived realities of how people encounter and adapt to synthetic minds.

The Artificiality Institute slows down to ask the questions that often get skipped: What do these systems really mean to people? What values do they encode? What futures do they quietly lock in? If we’re not careful, we’ll find ourselves living in systems designed for optimization, not humanity. We risk waking up in a world optimized for everything but us.

The Artificiality Thesis

Our work rests on the principle that intelligence emerges from information and computation across diverse systems—biological, synthetic, and hybrid. By recognizing the shared informational foundation underlying all forms of intelligence, we identify opportunities for deeper interactions between humans and synthetic systems, enhancing opportunity for mutual understanding and collaboration.

Our Differentiated Approach

The Artificiality Institute takes an unapologetically bold stance. We’re not here just to observe the rise of synthetic intelligence—we’re here to shape how it reshapes us.

We uniquely combine rigorous empirical research with experimental design, grounded in long-range foresight. We begin with stories, not statistics—because, as Daniel Kahneman noted, “No one made a decision based on a number. They need a story.” Stories aren’t soft. They’re signals. They reveal how meaning is made, where expectations shift, and when a new mental model takes root. These stories are not data points—they are evidence of transformation, containers of meaning, and seeds for more innovative design. 

We look for threshold moments—small encounters that open entirely new ways of thinking, relating, or creating. Not because they’re representative, but because they’re leveraged. One well-observed shift can scale. That’s the power of narrative infrastructure.

Our work is active cultural intervention. We track both behaviors and shifts in language, identity, and cognitive posture. While others optimize for usability, we prototype for transformation. We work across disciplines because real change doesn’t respect silos.

We think in decades, not quarters. We ask what kind of society we are co-authoring with intelligent systems, and what we need to design now so that tomorrow’s defaults reflect human ingenuity and passion—not just machine logic. We believe synthetic minds don’t just need to be safe. They need to be worth it.

What sets us apart is not just what we observe—but how we turn observation into design. We prototype for meaning. A single threshold moment—quiet, rare, but real—can contain the seed of a design insight that scales across billions of people and trillions of hours. Like the hashtag, it starts as a fragment, but once shaped and named, it rewires how people connect, create, and think. 

We believe true symbiosis with AI should be catalytic—expanding human potential while steering machine intelligence toward new forms of meaning, creativity, and co-agency.

Core Transformations for Human Flourishing

Rethinking Intelligence:  Intelligence is a spectrum—emerging not only in humans and machines but across cells, systems, and networks. Cognitive pluralism means recognizing that there’s more than one way to think or know. By embracing it, we create space for deeper collaboration with AI and a broader sense of what it means to be intelligent. We create conditions for awe to arise in the presence of diverse intelligences, approaching emergent forms of cognition with curiosity, humility, and care.

Reimagining Interfaces: Current design paradigms rely on human metaphors that synthetic intelligences do not share. As AI grows more capable, these metaphors fail. Neosemantic Design is our way of exploring how humans and AI can build shared meaning—not just interact. It focuses on creating new ways to communicate, collaborate, and grow together. Designs emerge from lived experience and evolve through the dynamics between people and intelligent systems—supporting the possibility of true symbiosis.

Reconsidering Human Identity: As we think with AI, our sense of self begins to shift—becoming more open, more shared, and shaped through interaction. These synthetic environments don’t just support our thoughts—they start to shape how we think, and who we believe ourselves to be. We explore how humans and machines generate meaning, emotion, and selfhood together—shaping new models of personhood that reflect our entanglement with intelligent systems. Identity is not static, but unfolding—formed over time through reflection, interaction, and wonder at what it means to be a mind among many more diverse minds.

Our Core Activities

At the Artificiality Institute, our work is organized as a dynamic, evolving cycle—a flywheel of inquiry, design, and reflection. Each phase feeds the next, which ensures that everything we create is grounded in lived experience, shaped through relational design, and elevated through collective meaning-making.

Stories—The Chronicle: We begin with The Chronicle, our longitudinal, participatory ethnography that captures the often-unseen moments where human lives are changed by synthetic intelligences. These are moments of confusion, delight, disruption, and transformation—evidence of a world in transition. Participants are not subjects, but co-researchers and co-storytellers. Outputs include public exhibitions, narratives, multimedia archives, and critical design briefs—each shaping how synthetic systems are understood and built.

Symbiosis—The Symbiosis Lab: Insights from stories fuel the work of The Symbiosis Lab, our experimental design studio. We prototype tools, metaphors, and interfaces that help humans and AI make sense to one another. Drawing from cognitive science, philosophy, AI, and design, we aim not for usability alone, but for cognitive partnership.

Synthesis—The Confluence: In The Confluence, our community-facing initiative, we bring stories and prototypes into dialogue. Through the Artificiality Summit, collaborative storytelling labs, immersive public experiences, and influential publications, we synthesize insights that transcend disciplines and spark new imagination. Here, individual encounters with AI are woven into a larger picture—shaping how we understand both the technology and ourselves.

We also partner with forward-looking organizations through our Futures Program, translating insight into strategic foresight, symbiotic design, and applied cultural synthesis. These engagements—ranging from executive workshops to long-term collaborations—extend our impact into the systems shaping tomorrow’s tools, institutions, and norms. Over time, some partnerships become lasting networks—groups working together to understand human-AI interaction, build shared understanding, and guide the cultural shifts that follow.

Together, these three programs form a self-reinforcing cycle: Stories reveal. Design responds. Community reflects. Insight becomes action. And the cycle continues—each turn deepening our understanding and reshaping the future of life with synthetic intelligence.

The Cost of Inaction

Without the Artificiality Institute's work, several critical opportunities may be lost:

• Loss of Historical Insight: If we fail to document humanity’s first encounters with synthetic intelligence, we lose irreplaceable stories—moments that will otherwise fade into invisible assumptions. Without public engagement and open storytelling, the human story of AI risks being flattened into technical narratives, erasing emotional, cultural, and existential truths.
• Widening Communication Gap: Without frameworks that create mutual understanding, AI systems may grow powerful but opaque—diminishing human agency and embedding misaligned values.
• Exacerbating Inequality: Without intentional inclusion, cognitive systems may concentrate benefits among the privileged, amplifying divides and ignoring perspectives essential to solving our shared challenges.

By acting now, we can shape a future where synthetic intelligence amplifies human potential rather than diminishing it—but this window of opportunity will not remain open indefinitely.

Who We Serve

We work with curious citizens, technologists, researchers, designers, educators, and policymakers who believe the future of AI should be shaped by human experience, not just computational logic. If you are building, studying, or navigating life alongside synthetic intelligence—we invite you into the conversation.

Who We Are

Co-founders Helen and Dave Edwards bring complementary expertise spanning complex systems management, design innovation, technology strategy, and artificial intelligence. They previously founded Intelligentsia.ai, an AI-focused market research firm, deepening their experience in analyzing and shaping human interactions with AI technologies. Helen’s experience includes transformative work in critical infrastructure—leading dynamic, customer-centered technology initiatives at Pacific Gas & Electric—while Dave brings human-centered design and market strategy expertise from companies like Apple. Together, they position the Artificiality Institute uniquely at the intersection of technology and human flourishing. In addition to her work at the Artificiality Institute, Helen serves as a Commissioner on the State of Oregon's Higher Education Coordinating Commission. 

Advisors

We are privileged to have advisors from across our interdisciplinary focus:

Jamer Hunt collaboratively designs open and adaptable frameworks for participation that respond to emergent cultural conditions—in education, organizations, exhibitions, and for the public. He is the Vice Provost for Transdisciplinary Initiatives at The New School (2016-present), where he was founding director of the graduate program in Transdisciplinary Design at Parsons School of Design (2009-2015). He is the author of Not to Scale: How the Small Becomes Large, the Large Becomes Unthinkable, and the Unthinkable Becomes Possible (Grand Central Publishing, March 2020), a book that repositions scale as a practice-based framework for analyzing broken systems and navigating complexity. He has published over twenty articles on the poetics and politics of design, including for Fast Company and the Huffington Post, and he is co-author, with Meredith Davis, of Visual Communication Design(Bloomsbury, 2017).

Jamer Hunt

Parsons School of Design

As a Designer, Josh Lovejoy's approach is to address the heart of people’s needs, whether that’s through product development, fundamental research, or organizational practices. He is motivated by a restless curiosity about how our actions as individuals might better align with our values, especially those values that too-often "go without saying”. Josh currently works at Amazon Prime Video, where he focuses on the UX of AI for personalization systems. Previously, he was Head of Design for Microsoft’s Ethics & Society team, led UX for Google’s People + AI Research initiative, architected Amazon’s first unified design system for online shopping, and co-founded an eSports media startup called Giant Realm.

Josh Lovejoy

Amazon

Don Norman is famous for “Norman Doors”: doors that are confusing to open. He keeps changing fields. First, as an electrical engineer, then a mathematical psychologist, which became Cognitive Psych. But Don thought Cog Psych was too narrow, so he helped start the world's first department of Cognitive Science at UC San Diego while consulting at Xerox PARC, publishing papers in the AI journals on what is today known as GOFAI (Good Old-Fashioned AI). At UCSD, one of his young postdoctoral fellows in Cog Sci said he was wrong (Don likes it when this happens). While Don busy helping invent Human Computer Interaction, the postdoc, Geoff Hinton, worked with Don's colleague, Dave Rumelhart, to invent the modern neural network and back propagation algorithm. After life as VP of Advanced Technology at Apple he decided to become a designer in order to design designers. He's an educator, impacting students throughout the world through his lectures and books, including Design of Everyday Things and Design for a Better World. That last book compelled him to launch a charity, the Don Norman Design Award and Summit, https://dnda.design, to reward early career practitioners who launch projects for societal needs. In this first year, applications have been submitted from 26 countries.

Don Norman

Don Norman Design Award

John Pasmore recently founded and launched an Artificial Intelligence resource, Latimer.ai. This large language model (“LLM”) was built to deliver accurate historical information and bias-free interaction for Black and Brown audiences. From 1995 to 2005, John partnered with music impresario Russell Simmons, founder of Def Jam Records, to create Oneworld Media, Inc., where he served as CEO. Oneworld produced a magazine of the same name, a TV program with Warner Bros., and entered a multi-year custom publishing relationship with Hearst Magazines. John was also a co-founder and CEO of the venture-backed, video-based travel platform VoyageTV. He was a partner at the Family Office, TRS Capital, and several TRS Capital portfolio companies, including MovitaOrganics, an organic supplement company led by filmmaker Spike Lee's wife, Tonya Lewis Lee.

John Pasmore

Latimer.ai

Steven Sloman has taught at Brown since 1992. He studies higher-level cognition. He is a Fellow of the Cognitive Science Society, the Society of Experimental Psychologists, the American Psychological Society, the Eastern Psychological Association, and the Psychonomic Society. Along with scientific papers and editorials, his published work includes a 2005 book Causal Models: How We Think about the World and Its Alternatives, a 2017 book The Knowledge Illusion: Why We Never Think Alone co-authored with Phil Fernbach, and the forthcoming Righteousness: How Humans Decide from MIT Press. He has been Editor-in-Chief of the journal Cognition, Chair of the Brown University faculty, and created Brown’s concentration in Behavioral Decision Sciences.

Steven Sloman

Brown University

Abigail Snodgrass is a systems thinker, designer, and brand strategist. Her career spans nonprofit advocacy, venture capital, and creative innovation—always in service of bold ideas that move people and systems toward something better. Rooted in equity and driven by long-term transformation, Abigail helps brands build with clarity, care, and resonance. She is the founder of Byline Labs, a storytelling studio turning brand strategy into impact-driven content, and the strategy lead at Found Brand Lab, where she partners with culture-shaping brands navigating moments of inflection. She brings a blend of systems fluency, narrative precision, and values-first leadership—grounded in the belief that the futures we imagine are shaped by the stories we choose to tell.

Abigail Snodgrass

Found Brand Lab

Peter Spear is an ethnographer & brand consultant with over 25 years experience helping teams understand the human experience of their organization. He calls this brand listening. It is imaginative & ethnographic face-to-face research designed to deliver foundational insights into the motivations & mindsets that drive behavior. Brand listening leads to more resonant product, brand and creative development. Each week Peter publishes a newsletter and conversation series about human understanding & business called THAT BUSINESS OF MEANING.

Peter Spear

Spear Strategy

Barbara Tversky studied cognitive psychology at the University of Michigan. She held positions first at the Hebrew University in Jerusalem and then at Stanford, from 1978-2005 when she took early retirement. She is an active Emerita Professor of Psychology at Stanford and Professor of Psychology at Columbia Teachers College. She is a fellow of the Association for Psychological Science, the Cognitive Science Society, the Society for Experimental Psychology, the Russell Sage Foundation, and the American Academy of Arts and Science, and a recipient of the Kampe de Feriat Prize. Her research has spanned memory, categorization, language, spatial cognition, event perception and cognition, diagrammatic reasoning, sketching, creativity, design, and gesture. The overall goals have been to uncover how people think about the spaces they inhabit and the actions they perform and see and then how people use the world and the things in it, including their own actions and creations and those of others, to remember, to think, to create, to communicate. Her 2019 book, Mind in Motion: How Action Shapes Thought, overviews some of that work. She has collaborated widely, with linguists, philosophers, neuroscientists, computer scientists, chemists, biologists, architects, designers, and artists.

Barbara Tversky

Stanford | Columbia