Explore Our Contributors and Their Work

From Yes-Man to Wait-Man: What Changed When I Stopped Letting AI Talk Over My Thinking

A bilingual educator examines how alignment with AI emerges not from better prompting but from deliberate boundary-setting and sustained correction over time—building on the practitioner lens first developed in Holding …

Holding the Line: Teaching Alongside AI Without Losing Voice

A bilingual educator reflects on maintaining professional judgment, voice, and human accountability while working alongside AI systems in high-need public school contexts

AI Is Not the Root: A Reflection from Nature-Based Education

A nature-based educator reflects on the tension between AI integration in education and the structural inequities it claims to solve, arguing for the enduring value of relational, place-based learning.

Critical Thinking for Equity on Both Ends of the AI Model

A Research Support Librarian and Open Research Champion at Sheffield Hallam University examines what transparency, equity, and responsible practice really require when black-box AI systems become routine in academic …

The Case for Coherent, Whole-Program AI Literacy Integration

Higher education's AI response requires systems thinking, not a triage or 'you do you' mindset — which places students last. A report from the ACORN initiative at San Diego State University.

The AI Extinction Debate Belongs in Education

The people building the most capable AI systems are publicly debating whether future AI could kill all humans. Students who will inherit decisions about these systems need to learn how to evaluate that warning: …

AI Education Needs Authority Literacy Before Agent Literacy

Agentic AI is shifting from answering questions to taking actions. Before students learn to make AI agents more capable, they need to learn how to define, inspect, and govern what those agents may access, decide, and do.

Is the AI-Generation AI-Damaged?

A reflective inquiry into cognitive atrophy, educational purpose, and what it means to learn when generative systems can imitate thinking faster than human minds can produce it

Trace Pedagogy: Grade the Trace, Not the Guess

When AI can polish any final product, teachers need evidence of the reasoning behind it. Trace Pedagogy makes open, peer-visible work the evidence of learning and uses exams to confirm it.

Japan's AI Education Guidelines Skip the Question That Matters Most

Japan's 2026 AI-in-education guidelines tell teachers how to use AI but never ask whether a given lesson needs it, a gap that recent evidence on time-to-mastery makes hard to ignore.

AI and Library Publishing: A Reflection

A Scholarly Communications Librarian reflects on how AI is reshaping library publishing programs—from ethical disclosure frameworks to the philosophical tensions between openness and author rights in an era of machine …

The Case for Coherent, Whole-Program AI Literacy Integration

Higher education's AI response requires systems thinking, not a triage or 'you do you' mindset — which places students last. A report from the ACORN initiative at San Diego State University.

The Emerging AI Divide in Higher Education

Drawing on experience across higher education in the UK and Malaysia, two academics argue that the real AI divide in universities is not about access to tools but about institutional readiness — and why it is an urgent …

What It Costs Us Now: Toward a Life Cycle Ledger for Every AI Query

The UN has confirmed what AI firms long obscured. A case for full life cycle accounting of every query, so its true environmental magnitude can no longer be hidden.

Hyderabad Earth Day Photo Story, Day Three: Young Minds Present Cooler City Futures

The concluding photo story from Earth Month 2026 in Hyderabad, where learners presented their Cool Your City Challenge models, welcomed environmental advocates, and received awards for climate and biodiversity design.

Hyderabad Earth Day Photo Story, Day Two: Pollinators, Heat Maps, and Cooling the City

A follow-up photo story from day two of Earth Month 2026 in Hyderabad, where children explored pollinators, real-time climate maps, and city-cooling design through collaborative art.

Hyderabad Earth Day Photo Story: Learning From the Ground Below

A photo story from the opening day of Earth Month 2026 in Hyderabad, where children explored soil as a living system through observation, worksheets, magnifiers, and shared discussion.

The Invisible Cost of Every Chat

AI companies warn us about accuracy—but remain silent on the environmental footprint of every query

The Emerging AI Divide in Higher Education

Drawing on experience across higher education in the UK and Malaysia, two academics argue that the real AI divide in universities is not about access to tools but about institutional readiness — and why it is an urgent …

To Boldly Go Where Our Purpose-Built AI Had Not Gone Before

Teacher educators document how a purpose-built math bot evolved into a broader instructional co-designer through exploratory prompting.

I, Me, Myself: Black Coffee and ChatGPT

An honest reflection on the role of educators in the ongoing discussion surrounding AI in education, critical thinking, curriculum integration, teacher accountability, and the changing dynamics of the student-teacher …

School Years vs. Release Cycles: Teaching in a World That Updates Weekly

AI models are launched faster than schools can write a lesson plan. What the mismatch means, and what education can teach that outlasts every release.

What It Costs Us Now: Toward a Life Cycle Ledger for Every AI Query

The UN has confirmed what AI firms long obscured. A case for full life cycle accounting of every query, so its true environmental magnitude can no longer be hidden.

Built for AI, or Built for Us?

Reading Anthropic's new reports on the 'AI exponential' and recursive self-improvement alongside recent scholarship on tech oligarchy, this piece asks a simple question: is AI being built to serve people, or to serve its …

A Moral Architecture for the Age of Artificial Intelligence

While big tech races to release larger models and newer capabilities, Pope Leo XIV's encyclical Magnifica Humanitas offers something no benchmark can measure: a moral framework for what AI must not do to people.

Society & AI Named in the 2026 EDUCAUSE Horizon Report on Teaching and Learning

An independent scholarly platform founded in July 2025, recognized in higher education's most influential annual report on the future of teaching and learning.

Infrastructure as Curriculum: What Students Learn When AI Works Offline

A short paper arguing that when AI runs offline on local devices in classrooms, the infrastructural constraints themselves become pedagogically meaningful.

The Cultures That Calibrate AI

The responses AI systems produce as correct, appropriate, and helpful are not discovered — they are decided. This essay asks who does the deciding, and what gets erased in the process.

Hyderabad Earth Day Photo Story, Day Three: Young Minds Present Cooler City Futures

The concluding photo story from Earth Month 2026 in Hyderabad, where learners presented their Cool Your City Challenge models, welcomed environmental advocates, and received awards for climate and biodiversity design.

Hyderabad Earth Day Photo Story, Day Two: Pollinators, Heat Maps, and Cooling the City

A follow-up photo story from day two of Earth Month 2026 in Hyderabad, where children explored pollinators, real-time climate maps, and city-cooling design through collaborative art.

Hyderabad Earth Day Photo Story: Learning From the Ground Below

A photo story from the opening day of Earth Month 2026 in Hyderabad, where children explored soil as a living system through observation, worksheets, magnifiers, and shared discussion.

Beyond AI Literacy: Teaching Intelligence Management

A working paper arguing that education must move from AI tool use toward human authority, judgment, and accountability over AI systems.

Toward an Intelligence Management Curriculum

After reading Anthropic's Project Glasswing announcement, an AI in education researcher argues that the field is facing a genuine emergency: a frontier AI model now surpasses expert humans across software engineering, …

We Are Living in the Effects of a Cause We Never Authorized

Borrowing the causal invariance principle from physics, this essay argues that AI is producing a structural violation of causal order in society, displacing workers and restructuring cognition before any deliberate …

A Closing Note on Open Education Week 2026 at Society & AI

Six guest contributors joined Society & AI for Open Education Week 2026 — from classroom practitioners to policy researchers, across three countries and five disciplines. This is a brief reflection on what they brought, …

Who Is Adapting Whom?

We speak of adapting to AI as though it is a natural force we must accommodate. But AI is built from human traces—and the question of who is shaping whom is far more complicated than we have allowed ourselves to ask.

To Boldly Go Where Our Purpose-Built AI Had Not Gone Before

Teacher educators document how a purpose-built math bot evolved into a broader instructional co-designer through exploratory prompting.

The Case for Philosophical Intelligence

What happens when we stop asking machines to answer and start asking them to wonder? A case for philosophical intelligence as the next frontier beyond reasoning and world models.

The Human-in-the-Loop Economy

Why cultural context, embodied wisdom, and the capacity to sense what machines cannot may define the most valuable form of intelligence in the age of automation

Is AI Disciplining Society?

Examining how algorithmic systems discipline society—training populations to conform, punishing deviation, and reshaping behavior without consent.

The Vanishing Ladder: Education in a Post-Labor Society

A commentary on the World Economic Forum 2026 debate between Google DeepMind's Demis Hassabis and Anthropic's Dario Amodei, examining urgent implications for workforce development and education

The Invisible Cost of Every Chat

AI companies warn us about accuracy—but remain silent on the environmental footprint of every query

Cloud Capital and the Extraction of Mind

How AI systems extract cognitive labor while accumulating capital for the few, and what this means for education and society

The Learning Society Thesis: Why Education Is Humanity's Only Scalable Adaptation Technology

A foundational framework arguing that education, not tools, not resources, not institutions, is the mechanism through which human societies adapt to existential change. AI represents either the greatest amplifier or the …

Is Education at a Punctuated Equilibrium?

When AI becomes the new blackboard: exploring the transformation of learning in an age of artificial intelligence

When AI Gives Instant Answers, What Are We Really Learning?

A commentary on how generative AI in education challenges us to rethink what skills matter when knowledge is always at our fingertips.

Brain Drain 2.0: The Invisible Extraction

Why the next great divergence won't be about who leaves, but what is taken.

AI, Education & Society: November 2025 in Review

A comprehensive worldwide review of significant developments in society-centered AI and AI in education during November 2025

Is the AI-Generation AI-Damaged?

A reflective inquiry into cognitive atrophy, educational purpose, and what it means to learn when generative systems can imitate thinking faster than human minds can produce it

What Is Universal Basic AI?

Why everyone deserves an AI companion aligned to their flourishing

Adopting and Adapting in AI Societies

Why education is the essential vehicle for navigating the age of artificial intelligence.

Building Confidence & Growth Mindset for Young Learners

A joyful song-based resource to teach young learners about confidence, perseverance, and growth mindset—aligned with Social-Emotional Learning (SEL) standards worldwide.

Promptgramming: A New Literacy for AI Societies

A companion piece to our 2024 technical report introducing promptgramming—the fusion of programming and prompting—as an essential literacy for navigating AI-mediated societies

Artificial Intelligence (AI) Explained for Kids

A joyful, song-based introduction to AI designed for young learners, educators, and families—crafted with Educator-in-the-Loop principles and Flesch-Kincaid readability standards.

The Rise of Algorithmic Societies: When Machines Govern Learning

How automated decision-making is reshaping education and what it means for human agency

SHIELD-ing Education: When AI Works Without the Internet

On-device AI tutoring in rural India shows that equitable computing education does not require connectivity.

Preserving Wonder: The Role of Curiosity in AI-Mediated Learning Environments

Why efficiency-driven AI systems risk extinguishing the curiosity and wonder that fuel deep learning—and how we can design technology that preserves rather than suppresses intrinsic motivation

Systems & Complexity

Mapping education as a complex adaptive system to identify AI leverage points

Education as the Master Lever

Why improving SDG 4 accelerates progress on all SDGs

What Is Society?

A pragmatic definition of how people, institutions, and shared meaning organize collective life

What Is Society-Centered AI?

Society-centered AI extends human-centered design into collective, civic, and institutional contexts—positioning affected communities as co-designers, co-owners, and co-stewards of artificial intelligence systems. This …

Skills for a Regenerative Economy

Literacy, numeracy, climate and data competencies

The Flourishing Index

A holistic metric suite for well-being in AI-integrated societies

Measuring Learning that Matters

Success metrics beyond standardized tests

On World Teachers' Day: Why Society & AI Begins with You

A letter to the world's educators on the launch of the Society & AI.

Education as a Complex System

Mapping actors, feedbacks, and leverage points for change

Educational Equity as Leverage

Why quality education is humanity's meta-solution for addressing global challenges

Public-Interest AI

Principles, playbooks, and procurement for the common good

What Is Collaborative Intelligence?

Redefining knowledge as co-authored by humans and machines

AI for Foundational Learning

Early-grade reading and math with equity-centered design

Cultural Evolution in AI Societies

How norms shift through tools, media, and networks

Human Flourishing in AI Societies

Preserving agency, meaning, and dignity as cognitive labor becomes automated

AI and Education Beyond 2030: Mapping the Grand Challenges

Reflections on a collaborative research agenda defining four grand challenges for AI in education

Knowledge & Intelligence

How AI transforms knowledge creation, validation, and collaborative intelligence

The Next Horizon of AI in Education Research: A Perspective

Exploring the paradigm shift in education research through AI

Social Cohesion & Trust

Guardrails for misinformation, attention, and civic participation

Indigenous Knowledge Systems and Artificial Intelligence: Toward Ethical Frameworks for Digital Sovereignty

Reframing AI ethics through Indigenous epistemologies, consent protocols, and data governance rooted in sovereignty and relational accountability.

To Boldly Go Where Our Purpose-Built AI Had Not Gone Before

Teacher educators document how a purpose-built math bot evolved into a broader instructional co-designer through exploratory prompting.

Beyond Model Capability: The Pedagogical Singularity as Institutional Reorganization

Dr. Szymon Machajewski relocates the 'pedagogical singularity' from a threshold in AI capability to a threshold in institutional design, arguing that what determines whether human-AI coupling builds durable capability or …

Lecturer Development Requirements to Teach AI Literacy: Lessons from a European Student Survey

An instructional designer and researcher with the METACOG Erasmus+ project draws on survey data from 360 students across four countries to identify what lecturers must learn before they can meaningfully teach AI …

Beyond the Open-Weights: Open Education, the Global Compute Divide, and the Future of AI Literacy

Open AI is not truly open if schools, researchers, and communities lack the compute to run it. The next frontier for Open Education is equitable access to infrastructure, not just content.