Plurality
There is no single human perspective. We value dialogue between different cultural, disciplinary and intellectual traditions.
Our vision
Whose values are
in the loop?
Generative AI is becoming embedded in education, research, work and everyday life. But its development raises a question that cannot be answered through technology alone:
Whose assumptions about knowledge, harm, responsibility and human flourishing are being encoded into these systems?
Why we exist
Technology crosses borders.
Ethics has context.
A small number of technology companies have enormous influence over the systems now used around the world. Their decisions affect what those systems classify as harmful, what requires warning, what can be represented and what will not be discussed.
These are not purely technical decisions.
Ideas about consent, responsibility, community, knowledge and harm differ across cultural and intellectual traditions. Approaches developed within one context cannot simply be assumed to speak for everyone.
Humanity in the Loop exists to make that conversation broader.
Our perspective
Human-centred does not mean
one view of humanity.
Criticality
Generative AI should not merely be adopted. Its claims, assumptions, outputs and consequences need to be questioned.
Context
The effects and meanings of technology depend upon where, how and by whom it is used.
Participation
People affected by AI should have meaningful opportunities to shape the conversations surrounding its use.
Questions
The questions matter
as much as the answers.
Whose knowledge is represented?
Whose knowledge is missing?
Who decides what counts as harmful?
What changes when AI crosses cultural contexts?
How should individual rights and collective responsibilities be balanced?
What would it mean to develop AI ethics through genuine dialogue between traditions?
Who is in the conversation?
Beyond disciplinary
boundaries.
Humanity in the Loop brings together academics, students, artists, technologists and civil society organisations.
Our interests span academic integrity, ethical AI use, teaching and learning, research integrity, representation, epistemic justice, governance and the role of criticality in research and education.
Meet the network