From flash crashes destabilizing markets to unfair grading and wrongful arrests, untested AI systems across finance, education, and law enforcement must be validated before deployment.
Multiple domains with high stakes broaden audience appeal and spark heated debate. The flash crash reference adds intrigue and urgency. AI's breadth prompts critical comments from finance, education, and civic voices, highlighting lapses and inviting proper scrutiny. The demand for validation is a unifying, shareable call to action. From flash crashes to unfair grading and wrongful arrests, untested AI can destabilise markets and amplify inequality. Systems shaping money, futures, and freedom must be validated before deployment.
Deep dive into real-world examples and case studies
Evidence-based framework connections and practical applications
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This video directly supports Pillar 1 of the Bridge Framework: Bias & Fairness
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