AI industry can learn from aviation and nuclear safety: Experts
Safety should not be seen as an impediment to AI innovation, aviation and AI industry players said.
Experts argue that the AI industry can learn from aviation and nuclear safety in terms of establishing international governing bodies and national regulators to ensure compliance with globally agreed rules. Jonathan Zhang, president of the Singapore AI Association, compares the potential for AI to compress the timeline of development currently taking decades in aviation to a much shorter timeframe.
They believe that safety should not be seen as an impediment to AI innovation but rather an opportunity to build trust. Hassan Shahidi, president and CEO of the US-based Flight Safety Foundation, adds that a strong safety framework can enable innovation by providing society with confidence that risks are responsibly managed. Singapore's Minister for Digital Development and Information, Josephine Teo, has stated that AI may eventually need a safety regime similar to that for civil aviation to foster trust.
She emphasizes that the country must start building safeguards alongside the adoption of AI now. Singapore has launched the AI Verify toolkit and established the Singapore AI Safety Institute to run technical audits and test AI models for safety risks, positioning itself as a neutral and trusted party for AI safety checks.
Written by urgent.news from Straits Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
