Artificial Intelligence and Autonomous Systems
The Global Centre for Risk and Innovation (GCRI)
GCRI · Artificial Intelligence and Autonomous Systems
Spatial intelligenceObservations, models and their uncertainty in one view
Technology relevant to artificial intelligence and data and compute: what it can do, the constraints it faces and its consequences for people and institutions.
Which problem does the technology address, and for whom?
What has been demonstrated, under what conditions, and what remains untested?
Cost, skills, infrastructure, data and governance requirements.
Effects on safety, rights, equity and the environment.
Fig.How a finding is reviewed before it is published. Design, not a record.
| Technology | What it could change | What remains to be shown |
|---|---|---|
| Automated red teaming | Broader coverage of failure modes | Coverage of novel failures; evaluator reliability |
| Interpretability methods | Understanding why models fail | Scale and faithfulness of explanations |
| Content provenance standards | Labelling synthetic media | Adoption and robustness to removal |
| AI for scientific discovery | Faster hypotheses and simulation | Validation and reproducibility |
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