Source of this article and featured image is TechCrunch. Description and key fact are generated by Codevision AI system.
Insurers are seeking regulatory approval to exclude AI-related liabilities from corporate policies due to unpredictable risks. AI models’ opaque decision-making processes are causing concern among underwriters. Recent incidents like Google’s AI lawsuit and Air Canada’s chatbot mishap highlight real-world consequences. Systemic risks from widespread AI failures worry insurers more than single large payouts. The Financial Times reports growing unease about AI’s potential to trigger mass claims.
Key facts
- Major insurers like AIG and WR Berkley want to exclude AI liabilities from coverage
- AI models are criticized for being ‘black boxes’ with unclear decision-making
- Google’s AI falsely accused a solar company of legal issues, leading to a $110M lawsuit
- Air Canada faced backlash after a chatbot automatically applied discounts
- A deepfake scam stole $25M from Arup using AI-generated video calls
