Kavli Affiliate: Max Tegmark
| First 5 Authors: Yoshua Bengio, Yoshua Bengio, , ,
| Summary:
Rapidly improving AI capabilities and autonomy hold significant promise of
transformation, but are also driving vigorous debate on how to ensure that AI
is safe, i.e., trustworthy, reliable, and secure. Building a trusted ecosystem
is therefore essential — it helps people embrace AI with confidence and gives
maximal space for innovation while avoiding backlash.
The "2025 Singapore Conference on AI (SCAI): International Scientific
Exchange on AI Safety" aimed to support research in this space by bringing
together AI scientists across geographies to identify and synthesise research
priorities in AI safety. This resulting report builds on the International AI
Safety Report chaired by Yoshua Bengio and backed by 33 governments. By
adopting a defence-in-depth model, this report organises AI safety research
domains into three types: challenges with creating trustworthy AI systems
(Development), challenges with evaluating their risks (Assessment), and
challenges with monitoring and intervening after deployment (Control).
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